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ORCIDCoRR, June 2025
Volume 2025-06, June 2025
- Qun-Kai Lin, Cheng Hsu, Tian-Sheuan Chang:
Enhancing Finite State Machine Design Automation with Large Language Models and Prompt Engineering Techniques. - Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan:
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization. - Arjun Prasaath Anbazhagan, Parteek Kumar, Ujjwal Kaur, Aslihan Akalin, Kevin Zhu, Sean O'Brien:
Probing Audio-Generation Capabilities of Text-Based Language Models. - Jose Luquin, Charles Mackin, Stefano Ambrogio, An Chen, F. Baldi, G. Miralles, Malte J. Rasch, Julian Büchel, M. Lalwani, W. Ponghiran, Paul Solomon, Hsinyu Tsai, Geoffrey W. Burr, Pritish Narayanan:
Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing. - Prithwish Basu Roy, Akashdeep Saha, Manaar Alam, Johann Knechtel, Michail Maniatakos, Ozgur Sinanoglu, Ramesh Karri:
Veritas: Deterministic Verilog Code Synthesis from LLM-Generated Conjunctive Normal Form. - Zhengfeng Wu, Ziyi Chen, Nnaemeka Achebe, Vaibhav Venugopal Rao, Pratik Shrestha, Ioannis Savidis:
Emerging ML-AI Techniques for Analog and RF EDA. - Amit Sharma:
AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies. - William Alberto Cruz Castañeda
, Marcellus Amadeus:
Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese. - Chang Eun Song, Priyansh Bhatnagar, Zihan Xia, Nam Sung Kim, Tajana Rosing, Mingu Kang:
Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution. - Dennis W. Hong, Yusuke Tanaka:
Buoyant Choreographies: Harmonies of Light, Sound, and Human Connection. - Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye:
Scaling Physical Reasoning with the PHYSICS Dataset. - Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang:
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling. - Yuri Miyagi, Nils Rodrigues, Daniel Weiskopf, Takayuki Itoh:
Visualization and Comparison of AOI Transitions with Force-Directed Graph Layout. - Xiang Shi, Rui Zhang, Jiawei Liu, Yinpeng Liu, Qikai Cheng, Wei Lu:
Modality Equilibrium Matters: Minor-Modality-Aware Adaptive Alternating for Cross-Modal Memory Enhancement. - Shuai Liu, Quanmin Liang, Zefeng Li, Boyang Li, Kai Huang:
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving. - Dipam Goswami, Liying Wang, Bartlomiej Twardowski, Joost van de Weijer:
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models. - Reid McIlroy-Young:
The Folly of AI for Age Verification. - Behtom Adeli, John McLinden, Pankaj Pandey, Ming Shao, Yalda Shahriari:
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing. - Seongwan Park, Taeklim Kim, Youngjoong Ko:
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval. - Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou:
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. - Jusheng Zhang, Jinzhou Tang, Sidi Liu, Mingyan Li, Sheng Zhang, Jian Wang, Keze Wang:
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control. - Junmin Gong, Sean Zhao, Sen Wang, Shengyuan Xu, Joe Guo:
ACE-Step: A Step Towards Music Generation Foundation Model. - Jan Göpfert, Jann M. Weinand, Patrick Kuckertz, Noah Pflugradt, Jochen Linßen:
Risks of AI-driven product development and strategies for their mitigation. - Aravinda Jatavallabha, Prabhanjan Bharadwaj, Ashish Chander:
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL. - Arjun Rao, Hanieh Alipour, Nick Pendar:
Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models. - Canh Thien Dang, An Nguyen:
Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment. - Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay:
Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models. - Chaitanya Sharma:
Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers. - Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu:
Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy. - Yiwei Sun:
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education. - An Vu, Jonas Oppenlaender:
Prompt Engineer: Analyzing Skill Requirements in the AI Job Market. - Sina Amirrajab, Volker Vehof, Michael Bietenbeck, Ali Yilmaz:
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports. - Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Aleksander Szczesny, Maciej Markiewicz, Jolanta Babiak, Berenika Dyczek, Przemyslaw Kazienko:
Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs. - Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad:
SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models? - Jiayi Zeng, Yizhe Feng, Mengliang He, Wenhui Lei, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou:
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling. - Dota Tianai Dong, Yifan Luo, Po-Ya Angela Wang, Asli Özyürek, Paula Rubio-Fernández:
You Prefer This One, I Prefer Yours: Using Reference Words is Harder Than Vocabulary Words for Humans and Multimodal Language Models. - Arne Tillmann:
Literature Review Of Multi-Agent Debate For Problem-Solving. - Afrozah Nadeem, Mark Dras, Usman Naseem:
Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages. - Robert Hankache, Kingsley Nketia Acheampong, Liang Song, Marek Brynda, Raad Khraishi, Greig A. Cowan:
Evaluating the Sensitivity of LLMs to Prior Context. - Dongyoung Kim, Sumin Park, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo:
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics. - Nariman Naderi, Zahra Atf, Peter R. Lewis, Aref Mahjoubfar, Seyed Amir Ahmad Safavi-Naini, Ali Soroush:
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs. - Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei:
The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. - Daniele Barolo, Chiara Valentin, Fariba Karimi, Luis Galárraga, Gonzalo Méndez, Lisette Espín-Noboa:
Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations. - Diego Pollini, Bruna de Vargas Guterres, Rodrigo da Silva Guerra, Ricardo B. Grando:
Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation. - Andrew Cornfeld, Ashley Miller, Mercedes Mora-Figueroa, Kurt Samuels, Anthony Palomba:
Optimizing Storytelling, Improving Audience Retention, and Reducing Waste in the Entertainment Industry. - Edward L. Wang, Tianyu Wang, Avanti Athreya, Vince Lyzinski, Carey E. Priebe:
Gaussian mixture models as a proxy for interacting language models. - John P. Dickerson, Hadi Hosseini, Samarth Khanna, Leona Pierce:
Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values. - Stefan Pasch:
Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products. - Jiawei Hou, Xiangyang Xue, Taiping Zeng:
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments. - Yuyang Lai, Sina Heydari, On Shun Pak, Yi Man:
Navigation of a Three-Link Microswimmer via Deep Reinforcement Learning. - Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang:
COSMIC: Generalized Refusal Direction Identification in LLM Activations. - Peng Xie, Xingyuan Liu, Tsz Wai Chan, Yequan Bie, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen:
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset. - Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang, Congbo Ma, Chenyang Lyu, Fakhri Karray:
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. - Hyundong Jin, Sicheol Sung, Shinwoo Park, Seung-Yeop Baik, Yo-Sub Han:
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents. - Konstantin Aal, Tanja Aal, Vasil Navumau, David Unbehaun, Claudia Müller, Volker Wulf, Sarah Rüller:
Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use. - Yuchong Li, Xiaojun Zeng, Chihua Fang, Jian Yang, Fucang Jia, Lei Zhang:
ClinBench-HPB: A Clinical Benchmark for Evaluating LLMs in Hepato-Pancreato-Biliary Diseases. - Edgar Welte, Rania Rayyes:
Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives - A Survey. - Ajinkya Kulkarni, Francisco Teixeira, Enno Hermann, Thomas Rolland, Isabel Trancoso, Mathew Magimai-Doss:
Children's Voice Privacy: First Steps And Emerging Challenges. - Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai:
EgoVIS@CVPR: What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. - Ruipeng Jia, Yunyi Yang, Yongbo Gai, Kai Luo, Shihao Huang, Jianhe Lin, Xiaoxi Jiang, Guanjun Jiang:
Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards. - Luis Costero, Jorge Villarrubia, Francisco D. Igual:
Motivando el uso y aprendizaje de Bash a través de concursos de programación. - Sibei Liu, Yuanzhe Zhang, Xiang Li, Yunbo Liu, Chengwei Feng, Hao Yang:
Gated Multimodal Graph Learning for Personalized Recommendation. - Gen Luo, Ganlin Yang, Ziyang Gong, Guanzhou Chen, Haonan Duan, Erfei Cui, Ronglei Tong, Zhi Hou, Tianyi Zhang, Zhe Chen, Shenglong Ye, Lewei Lu, Jingbo Wang, Wenhai Wang, Jifeng Dai, Yu Qiao, Rongrong Ji, Xizhou Zhu:
Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces. - Gabriel Aracena, Kyle Luster, Fabio Santos, Igor Steinmacher, Marco Aurélio Gerosa:
Applying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models. - Edward Fish, Richard Bowden:
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation. - Simon Sinong Zhan, Qingyuan Wu, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu:
Adapting Offline Reinforcement Learning with Online Delays. - MohammadHossein Homaei, Mehran Tarif, Agustín Javier Di Bartolo, Óscar Mogollón-Gutiérrez, María Mar Ávila:
A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things. - Fardin Ahsan Sakib, Ziwei Zhu, Karen Trister Grace, Meliha Yetisgen, Özlem Uzuner:
Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models. - Idan Attias, Steve Hanneke, Arvind Ramaswami:
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning. - Magdalena Proszewska, Nikolay Malkin, N. Siddharth:
On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning. - Alireza Salemi, Hamed Zamani:
LaMP-QA: A Benchmark for Personalized Long-form Question Answering. - Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi:
Balancing Profit and Fairness in Risk-Based Pricing Markets. - Reydne Santos, Rafa Prado, Ana Paula de Holanda Silva, Kiev Gama, Fernando Castor, Ronnie de Souza Santos:
Understanding Underrepresented Groups in Open Source Software. - Biqi Rebekah Zhao, Alexander Chou, Robert Peltekov, Elad Alon, Chunlei Liu, Rikky Muller, Michael Lustig:
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation. - Sujeet Kumar, Pretam Ray, Abhinay Beerukuri, Shrey Kamoji, Manoj Balaji Jagadeeshan, Pawan Goyal:
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry. - Rafael Capilla, Jorge Andrés Díaz Pace, Yamid E. Ramírez, Jennifer Pérez, Vanessa Rodríguez-Horcajo:
Supporting architecture evaluation for ATAM scenarios with LLMs. - Erfan Loghmani:
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective. - Agustín Roca, Gastón I. Castro, Gabriel Torre, Leonardo J. Colombo, Ignacio Mas, Javier Pereira, Juan Ignacio Giribet:
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches. - Eli Chien, Wei-Ning Chen, Pan Li:
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States. - Qihui Fan, Enfu Nan, Wenbo Li, Lei Lu, Pu Zhao, Yanzhi Wang:
Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement. - Fabian Achammer, Stefan Hetzl, Renate A. Schmidt:
Computing Witnesses Using the SCAN Algorithm (Extended Preprint). - Agustín Roca, Gabriel Torre, Juan Ignacio Giribet, Gastón I. Castro, Leonardo Colombo, Ignacio Mas, Javier Pereira:
Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning. - Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn, Sandeep Silwal, Erik Waingarten:
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures. - Kundan Krishna, Joseph Y. Cheng, Charles Maalouf, Leon A. Gatys:
Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment. - Ehsan Ghoreishi, Bahman Abolhassani, Yan Huang, Shiva Acharya, Wenjing Lou, Y. Thomas Hou:
Cyrus+: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN. - Aziida Nanyonga, Graham Wild:
Utilizing AI for Aviation Post-Accident Analysis Classification. - Kaivalya Hariharan, Uzay Girit, Atticus Wang, Jacob Andreas:
Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents. - Mingyi Shi, Wei Liu, Jidong Mei, Wangpok Tse, Rui Chen, Xuelin Chen, Taku Komura:
MotionPersona: Characteristics-aware Locomotion Control. - Shichang Zhang, Hongzhe Du, Karim Saraipour, Jiaqi W. Ma, Himabindu Lakkaraju:
Accountability Attribution: Tracing Model Behavior to Training Processes. - Anirudh Nair, Adi Banerjee, Laurent Mombaerts, Matthew Hagen, Tarik Borogovac:
Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings. - Juho Kim:
Empirical Validation of the Independent Chip Model. - Enea Monzio Compagnoni, Rustem Islamov, Antonio Orvieto, Eduard Gorbunov:
On the Interaction of Noise, Compression Role, and Adaptivity under (L0, L1)-Smoothness: An SDE-based Approach. - Md Mahmuddun Nabi Murad, Yasin Yilmaz:
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series. - Di Zhang, Weida Wang, Junxian Li, Xunzhi Wang, Jiatong Li, Jianbo Wu, Jingdi Lei, Haonan He, Peng Ye, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
Control-R: Towards controllable test-time scaling. - Rafaela Filippozzi, Everton Boos, Douglas Soares Gonçalves, Fermín S. Viloche Bazán:
On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems. - Jiawei Chen, Lusi Li, Daniel Takabi, Masha Sosonkina, Rui Ning:
Heterogeneous Graph Backdoor Attack. - Mingqian Zheng, Wenjia Hu, Patrick Zhao, Motahhare Eslami, Jena D. Hwang, Faeze Brahman, Carolyn Rose, Maarten Sap:
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences. - Xinyue Shen, Yun Shen, Michael Backes, Yang Zhang:
When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs. - Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Radheesh Sharma Meda, Amir Barati Farimani:
MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. - Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Tim C. Lueth, Sergios Gatidis, Curtis P. Langlotz, Jean-Benoit Delbrouck:
Structuring Radiology Reports: Challenging LLMs with Lightweight Models. - Arun Ganesh, Brendan McMahan, Milad Nasr, Thomas Steinke, Abhradeep Thakurta:
Hush! Protecting Secrets During Model Training: An Indistinguishability Approach. - Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar:
What do professional software developers need to know to succeed in an age of Artificial Intelligence? - Omid Reza Abbasi, Franz Welscher, Georg Weinberger, Johannes Scholz:
The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features. - Linyuan Gong, Alvin Cheung, Mostafa Elhoushi, Sida Wang:
Structure-Aware Fill-in-the-Middle Pretraining for Code. - Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff:
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. - Elena Gaburro, Mario Ricchiuto, Michael Dumbser:
On general and complete multidimensional Riemann solvers for nonlinear systems of hyperbolic conservation laws. - Anoop Kini, Andreas Jansche, Timo Bernthaler, Gerhard Schneider:
FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class. - Liwen Sun, Hao-Ren Yao, Gary Gao, Ophir Frieder, Chenyan Xiong:
Intercept Cancer: Cancer Pre-Screening with Large Scale Healthcare Foundation Models. - Ziji Zhang, Michael Yang, Zhiyu Chen, Yingying Zhuang, Shu-Ting Pi, Qun Liu, Rajashekar Maragoud, Vy Nguyen, Anurag Beniwal:
REIC: RAG-Enhanced Intent Classification at Scale. - Cristopher Moore, Catherine Gill, Nadya Bliss, Kevin R. B. Butler, Stephanie Forrest, Daniel Lopresti, Mary Lou Maher, Helena Mentis, Shashi Shekhar, Amanda Stent, Matthew Turk:
Concerning the Responsible Use of AI in the US Criminal Justice System. - Victor Luder, Lukas Schulthess, Silvano Cortesi, Leyla Rivero Davis, Michele Magno:
AniTrack: A Power-Efficient, Time-Slotted and Robust UWB Localization System for Animal Tracking in a Controlled Setting. - Alina Wernick, Alan Medlar, Sofia Söderholm, Dorota Glowacka:
Evaluating the Contextual Integrity of False Positives in Algorithmic Travel Surveillance. - Xingru Zhou, Sadanand Modak, Yao-Cheng Chan, Zhiyun Deng, Luis Sentis, Maria Esteva:
Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets. - Jiabao Brad Wang, Amir Vaxman:
Power-Linear Polar Directional Fields. - Bernardo Subercaseaux, Ethan Mackey, Long Qian, Marijn J. H. Heule:
Automated Symmetric Constructions in Discrete Geometry. - Liyan Chen, Huangying Zhan, Hairong Yin, Yi Xu, Philippos Mordohai:
Understanding while Exploring: Semantics-driven Active Mapping. - Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, Christopher Pal:
Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes. - Rebekah A. Gelpí, Yibing Ju, Ethan C. Jackson, Yikai Tang, Shon Eduard Verch, Claas Voelcker, William A. Cunningham:
Sorrel: A simple and flexible framework for multi-agent reinforcement learning. - Niraj Gohil, Nawshad Haque, Amgad Elgowainy, Amro M. Farid:
Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering & Hetero-functional Graph Theory. - Ruofan Wu, Youngwon Lee, Fan Shu, Danmei Xu, Seung-won Hwang, Zhewei Yao, Yuxiong He, Feng Yan:
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering. - Aasish Kumar Sharma, Dimitar Kyosev, Julian M. Kunkel:
Ethical AI: Towards Defining a Collective Evaluation Framework. - Yexiao He, Ang Li, Boyi Liu, Zhewei Yao, Yuxiong He:
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility. - Babak Barazandeh:
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning. - Ehsan Karimi, Maryam Rahnemoonfar:
ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment. - Dewei Feng, Carol Li, Wei Dai, Paul Pu Liang:
SMELLNET: A Large-scale Dataset for Real-world Smell Recognition. - Menglin Zhao, Zhuorui Yong, Ruijia Guan, Kai-Wei Chang, Adrian Haimovich, Kei Ouchi, Timothy W. Bickmore, Bingsheng Yao, Dakuo Wang, Smit Desai:
Designing AI Tools for Clinical Care Teams to Support Serious Illness Conversations with Older Adults in the Emergency Department. - Shuai Feng, Wei-Chuang Chan, Srishti Chouhan, Junior Francisco Garcia Ayala, Srujananjali Medicherla, Kyle Clark, Mingwei Shi:
Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise. - Pintu Kumar, Nandyala Hemachandra:
DeGLIF for Label Noise Robust Node Classification using GNNs. - Dang Nguyen, Ali Payani, Baharan Mirzasoleiman:
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity. - Aasish Kumar Sharma, Sanjeeb Prashad Pandey, Julian M. Kunkel:
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming. - Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan:
MIR: Methodology Inspiration Retrieval for Scientific Research Problems. - Mohammad Javad Ranjbar Kalahroodi, Amirhossein Sheikholselami, Sepehr Karimi, Sepideh Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery:
PersianMedQA: Language-Centric Evaluation of LLMs in the Persian Medical Domain. - Moon Kim, Avinash Malik, Partha S. Roop:
Frequency Automata: A novel formal model of hybrid systems in combined time and frequency domains. - Lihao Sun, Chengzhi Mao, Valentin Hofmann, Xuechunzi Bai:
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. - Mahammed Kamruzzaman, Gene Louis Kim:
The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection. - Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang:
Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models. - (Withdrawn) PerFormer: A Permutation Based Vision Transformer for Remaining Useful Life Prediction.
- Aasish Kumar Sharma, Julian M. Kunkel:
GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems. - Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma:
GPR: Empowering Generation with Graph-Pretrained Retriever. - Alessandro Buldini, Carlo Mazzocca, Rebecca Montanari, Arif Selcuk Uluagac:
Compact and Selective Disclosure for Verifiable Credentials. - Mohammadamin Shafiei, Hamidreza Saffari, Nafise Sadat Moosavi:
MultiHoax: A Dataset of Multi-hop False-Premise Questions. - Cihan Xiao, Ruixing Liang, Xiangyu Zhang, Mehmet Emre Tiryaki, Veronica Bae, Lavanya Shankar, Rong Yang, Ethan Poon, Emmanuel Dupoux, Sanjeev Khudanpur, Leibny Paola García-Perera:
CASPER: A Large Scale Spontaneous Speech Dataset. - Sathish Govindarajan, Mayuresh Patle, Siddhartha Sarkar:
Minimum Membership Geometric Set Cover in the Continuous Setting. - Jan-Niclas Hilgert, Carlo Jakobs, Michael Külper, Martin Lambertz, Axel Mahr, Elmar Padilla:
Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response. - Jiawei Fang, Yuxuan Sun, Chengtian Ma, Qiuyu Lu, Lining Yao:
RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward. - Hans W. A. Hanley, Zakir Durumeric:
Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings. - Boshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, Fiona C. Baker, Mohamad Forouzanfar:
Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning. - Matthew Hull, Haoyang Yang, Pratham Mehta, Mansi Phute, Aeree Cho, Haoran Wang, Matthew Lau, Wenke Lee, Willian T. Lunardi, Martin Andreoni, Polo Chau:
3D Gaussian Splat Vulnerabilities. - Chris M. Ward, Josh Harguess:
Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems. - Mohamed Abdelhai Bouaicha, Giuseppe Destefanis, Teodoro Montanaro, Noureddine Lasla, Luigi Patrono:
Shill Bidding Prevention in Decentralized Auctions Using Smart Contracts. - Jorge Garcia-Cabeza, Javier Albert-Smet, Zoraida Frias, Luis Mendo, Santiago Andrés Azcoitia, Eduardo Yraola:
Direct-to-Cell: A First Look into Starlink's Direct Satellite-to-Device Radio Access Network through Crowdsourced Measurements. - Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev:
Lazy Heuristic Search for Solving POMDPs with Expensive-to-Compute Belief Transitions. - Oliver Mortensen, Mohammad Sadegh Talebi:
Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model. - Ahmed Elhady, Eneko Agirre, Mikel Artetxe:
Emergent Abilities of Large Language Models under Continued Pretraining for Language Adaptation. - Tianqi Chen, Shujian Zhang, Mingyuan Zhou:
DLM-One: Diffusion Language Models for One-Step Sequence Generation. - (Withdrawn) Improving Code Switching with Supervised Fine Tuning and GELU Adapters.
- Manav Nitin Kapadnis, Atharva Naik, Carolyn P. Rosé:
CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review. - Fanglei Xue, Andrew Kubaney, Zhichun Guo, Joseph K. Min, Ge Liu, Yi Yang, David Baker:
Improving Protein Sequence Design through Designability Preference Optimization. - Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms. - Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban:
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework. - Payal Mohapatra, Akash Pandey, Xiaoyuan Zhang, Qi Zhu:
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs. - Antonello Paolino, Gabriele Nava, Fabio Di Natale, Fabio Bergonti, Punith Reddy Vanteddu, Donato Grassi, Luca Riccobene, Alex Zanotti, Renato Tognaccini, Gianluca Iaccarino, Daniele Pucci:
Learning Aerodynamics for the Control of Flying Humanoid Robots. - John Harvill, Ziwei Fan, Hao Wang, Yizhou Sun, Hao Ding, Luke Huan, Anoop Deoras:
Lossless Token Sequence Compression via Meta-Tokens. - Hayoung Jung, Shravika Mittal, Ananya Aatreya, Navreet Kaur, Munmun De Choudhury, Tanushree Mitra:
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform. - Ruonan Wang, Runxi Wang, Yunwen Shen, Chengfeng Wu, Qinglin Zhou, Rohitash Chandra:
Evaluation of LLMs for mathematical problem solving. - Brendan Sands, Yining Wang, Chenhao Xu, Yuxuan Zhou, Lai Wei, Rohitash Chandra:
An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3. - Nicolaas Weideman, Sima Arasteh, Mukund Raghothaman, Jelena Mirkovic, Christophe Hauser:
Data Flows in You: Benchmarking and Improving Static Data-flow Analysis on Binary Executables. - Hideaki Joko, Faegheh Hasibi:
FACE: A Fine-grained Reference Free Evaluator for Conversational Recommender Systems. - Atul Ganju, Shashaank Aiyer, Ved Sriraman, Karthik Sridharan:
Active Learning via Regression Beyond Realizability. - Alisha Ukani, Hamed Haddadi, Alex C. Snoeren, Peter Snyder:
Local Frames: Exploiting Inherited Origins to Bypass Content Blockers. - Sara Ghazanfari, Francesco Croce, Nicolas Flammarion, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning. - Yufei Tian, Jiao Sun, Nanyun Peng, Zizhao Zhang:
SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation. - Xiao Yu, Baolin Peng, Ruize Xu, Michel Galley, Hao Cheng, Suman Nath, Jianfeng Gao, Zhou Yu:
Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents. - Sofiane Mahiou, Amir Dizche, Reza Nazari, Xinmin Wu, Ralph Abbey, Jorge Silva, Georgi Ganev:
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation. - Jisoo Jeong, Hong Cai, Jamie Menjay Lin, Fatih Porikli:
Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties. - Long Xu, Peng Gao, Wen-Jia Tang, Fei-Yue Wang, Ru-Yue Yuan:
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking. - Jingde Cheng, Gennaro Notomista:
Music-driven Robot Swarm Painting. - Shreshth Saini, Ru-Ling Liao, Yan Ye, Alan C. Bovik:
Latent Guidance in Diffusion Models for Perceptual Evaluations. - Kourosh Shahnazari, Seyed Moein Ayyoubzadeh, Mohammadali Keshtparvar:
BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies. - Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar, Prashant J. Nair:
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation. - Boyi Zhang, Zhuo Liu, Hangfeng He:
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering. - Svetlana Churina, Akshat Gupta, Insyirah Mujtahid, Kokil Jaidka:
Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus. - Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini, Elisa Ricci, Riccardo Volpi, Gabriela Csurka:
Test-time Vocabulary Adaptation for Language-driven Object Detection. - Gerard Christopher Yeo, Kokil Jaidka:
Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models. - Hugo Díaz, Arvind K. Saibaba, Srinivas Eswar, Vishwas Rao, Zichao Wendy Di:
Structured Column Subset Selection for Bayesian Optimal Experimental Design. - Ming Hu, Jianfu Yin, Mingyu Dou, Yuqi Wang, Ruochen Dang, Siyi Liang, Cong Hu, Yao Wang, Bingliang Hu, Quan Wang:
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification. - Yifan Peng, Muhammad Shakeel, Yui Sudo, William Chen, Jinchuan Tian, Chyi-Jiunn Lin, Shinji Watanabe:
OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning. - Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn:
The iNaturalist Sounds Dataset. - Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, Jungseul Ok:
Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs. - Xueyuan Chen, Dongchao Yang, Wenxuan Wu, Minglin Wu, Jing Xu, Xixin Wu, Zhiyong Wu, Helen Meng:
DiffDSR: Dysarthric Speech Reconstruction Using Latent Diffusion Model. - Lin Yang, Huu-Thiet Nguyen, Donghan Yu, Chen Lv, Domenico Campolo:
Haptic Rapidly-Exploring Random Trees: A Sampling-based Planner for Quasi-static Manipulation Tasks. - Chinkit Patel, Kee Siong Ng:
Enabling Secure and Ephemeral AI Workloads in Data Mesh Environments. - Yixuan Li, Ji Wang, Ming Zeng, Yuanwei Liu:
Sum Rate Maximization for Wireless Powered Pinching-Antenna Systems (PASS). - Rorry Brenner, Evan Davis, Rushi Chaudhari, Rowan Morse, Jingyao Chen, Xirui Liu, Zhaoyi You, Laurent Itti:
Exploring the Performance of Perforated Backpropagation through Further Experiments. - Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang, Adrian Rodriguez, Songtao Wei, Yapeng Tian, Yunhui Guo:
AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time. - Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Hoang T. Nguyen, Priya L. Donti:
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees. - Yubai Wei, Jiale Han, Yi Yang:
Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval. - Ngoc Tuyen Do, Tri Nhu Do:
Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection. - Yizhou Gao, Tim D. Barfoot:
Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs. - Pappu Jha, Hanzla Hamid, Oluseyi Olukola, Ashim Dahal, Nick Rahimi:
Adversarial Machine Learning for Robust Password Strength Estimation. - Ruibo Fu, Xiaopeng Wang, Zhengqi Wen, Jianhua Tao, Yuankun Xie, Zhiyong Wang, Chunyu Qiang, Xuefei Liu, Cunhang Fan, Chenxing Li, Guanjun Li:
RPRA-ADD: Forgery Trace Enhancement-Driven Audio Deepfake Detection. - Jiawen Stefanie Zhu, Jian Zhao:
Understanding Remote Communication between Grandparents and Grandchildren in Distributed Immigrant Families. - Mohammad Shamim Ahsan, Salekul Islam, Swakkhar Shatabda:
A Systematic Review of Metaheuristics-Based and Machine Learning-Driven Intrusion Detection Systems in IoT. - Siavash Shams, Richard J. Antonello, Gavin Mischler, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani:
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG. - Xuyuan Liu, Lei Hsiung, Yaoqing Yang, Yujun Yan:
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models. - Ishan Paranjape, Islam I. Hussein, Jeremy Murray-Krezan, Sean Phillips, Suman Chakravorty:
Sensor Fusion Methods for Gaussian Mixture Models. - Yutong Huang, Zhiyuan Guo, Yiying Zhang:
Deep-Learning-Driven Prefetching for Far Memory. - Yakun Song, Jiawei Chen, Xiaobin Zhuang, Chenpeng Du, Ziyang Ma, Jian Wu, Jian Cong, Dongya Jia, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen:
MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation. - Keyeun Lee, Seolhee Lee, Esther Hehsun Kim, Yena Ko, Jinsu Eun, Dahee Kim, Hyewon Cho, Haiyi Zhu, Robert E. Kraut, Eunyoung Suh, Eun-mee Kim, Hajin Lim:
Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training. - Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia:
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. - Ge Qu, Jinyang Li, Bowen Qin, Xiaolong Li, Nan Huo, Chenhao Ma, Reynold Cheng:
SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL. - Ziwei Zhao, Xizi Wang, Yuchen Wang, Feng Cheng, David Crandall:
Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views. - Jiawei Gu, Shangsong Liang:
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively. - Kordel K. France, Rohith Peddi, Nik Dennler, Ovidiu Daescu:
Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence. - Zixin Ding, Junyuan Hong, Jiachen T. Wang, Zinan Lin, Zhangyang Wang, Yuxin Chen:
Scaling Textual Gradients via Sampling-Based Momentum. - Vishwanath Pratap Singh, Md. Sahidullah, Tomi Kinnunen:
Causal Structure Discovery for Error Diagnostics of Children's ASR. - Joshua Akingbade, Jianhua Yang, Mir Seyedebrahimi:
Using Code Snippets to Teach Programming Languages. - Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao:
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection. - Ruixuan Chen, Wentao Li, Jiahui Xiao, Yuchen Li, Yiming Tang, Xiaonan Wang:
Bias as a Virtue: Rethinking Generalization under Distribution Shifts. - Ziwen Wang:
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering. - Yi Yang, Jiaxuan Sun, Siqi Kou, Yihan Wang, Zhijie Deng:
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks. - Daniel Israel, Guy Van den Broeck, Aditya Grover:
Accelerating Diffusion LLMs via Adaptive Parallel Decoding. - Matthew Brophy:
Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI Safety. - Anum Nawaz, Muhammad Irfan, Xianjia Yu, Zhuo Zou, Tomi Westerlund:
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare. - Changyuan Zhao, Ruichen Zhang, Jiacheng Wang, Gaosheng Zhao, Dusit Niyato, Geng Sun, Shiwen Mao, Dong In Kim:
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks. - Siqi Liang, Sumyeong Ahn, Paramveer S. Dhillon, Jiayu Zhou:
Dual Debiasing for Noisy In-Context Learning for Text Generation. - Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker, Niranjan Balasubramanian:
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences. - Miao Ye, Suxiao Wang, Jiaguang Han, Yong Wang, Xiaoli Wang, Jingxuan Wei, Peng Wen, Jing Cui:
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks. - Jihyoung Jang, Minwook Bae, Minji Kim, Dilek Hakkani-Tur, Hyounghun Kim:
Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions. - Yui Sudo, Yosuke Fukumoto, Muhammad Shakeel, Yifan Peng, Chyi-Jiunn Lin, Shinji Watanabe:
DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition. - Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis:
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning. - Bingsen Chen, Shengjie Wang, Xi Ye, Chen Zhao:
Inter-Passage Verification for Multi-evidence Multi-answer QA. - Anjani kumar Polinati:
Hybrid Cloud Security: Balancing Performance, Cost, and Compliance in Multi-Cloud Deployments. - Yufan Huang, Peter Jin, Kent Quanrud:
Faster negative length shortest paths by bootstrapping hop reducers. - Nicole Hsing:
MIRROR: Cognitive Inner Monologue Between Conversational Turns for Persistent Reflection and Reasoning in Conversational LLMs. - Jie Peng, Zhewei Wei, Yuhang Ye:
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. - Seunghan Lee, Taeyoung Park, Kibok Lee:
Channel Normalization for Time Series Channel Identification. - Luigi Sigillo, Shengfeng He, Danilo Comminiello:
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free. - Masahiro Kato, Yuki Ikeda, Kentaro Baba, Takashi Imai, Ryo Inokuchi:
Learning from Double Positive and Unlabeled Data for Potential-Customer Identification. - Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei:
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks. - Keisuke Sugiura, Mizuki Yasuda, Hiroki Matsutani:
PointODE: Lightweight Point Cloud Learning with Neural Ordinary Differential Equations on Edge. - Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao:
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. - Daniel Mauricio Jimenez Gutierrez, David Solans, Mohammed Elbamby, Nicolas Kourtellis:
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning. - Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng:
K-order Ranking Preference Optimization for Large Language Models. - Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua:
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. - Mehedi Ahamed, Radib Bin Kabir, Tawsif Tashwar Dipto, Mueeze Al Mushabbir, Sabbir Ahmed, Md. Hasanul Kabir:
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition. - Suhas BN, Han-Chin Shing, Lei Xu, Mitch Strong, Jon Burnsky, Jessica Ofor, Jordan R. Mason, Susan Chen, Sundararajan Srinivasan, Chaitanya Shivade, Jack Moriarty, Joseph Paul Cohen:
Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization. - Wenhan Lyu, Devashish Tyagi, Yihang Yang, Ziwei Li, Ajay Somani, Karthikeyan Shanmugasundaram, Nikola Andrejevic, Ferdi Adeputra, Curtis Zeng, Arun K. Singh, Maxime Ransan, Sagar Jain:
DV365: Extremely Long User History Modeling at Instagram. - Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang:
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction. - Kordel K. France, Ovidiu Daescu:
Diffusion Graph Neural Networks for Robustness in Olfaction Sensors and Datasets. - Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo:
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models. - Nina Cohen, Kordel K. France:
Reinforcement Learning for Hanabi. - Elinor Ginzburg, Itay Segev, Yoash Levron, Sarah Keren:
Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control. - Ruiyang Ma, Tianhao Wei, Jiaxi Zhang, Chun Yang, Jiangfang Yi, Guojie Luo:
Bridging the Gap between Hardware Fuzzing and Industrial Verification. - Ioan-Paul Ciobanu, Andrei Iulian Hîji, Nicolae-Catalin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu:
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark. - Shuai Zhao, Heyan Huang, Xinge Li, Xiaokang Chen, Rui Wang:
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning. - Jintai Chen, Fangqing Liu, Xueming Yan, Han Huang:
Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms. - Shaoxiong Ji, Zihao Li, Jaakko Paavola, Indraneil Paul, Hengyu Luo, Jörg Tiedemann:
Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data. - Yang Zhang, Buqing Nie, Zhanxiang Cao, Yangqing Fu, Yue Gao:
Disturbance-Aware Adaptive Compensation in Hybrid Force-Position Locomotion Policy for Legged Robots. - Wei Tao, Xiaoyang Qu, Kai Lu, Jiguang Wan, Shenglin He, Jianzong Wang:
BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation. - Abhisek Ray, Lukas Esterle:
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet - A ResNet-based Model Classification Dataset. - Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi:
Flashbacks to Harmonize Stability and Plasticity in Continual Learning. - Hongjie Zhu, Zezheng Zhang, Zeyu Zhang, Yu Bai, Shimin Wen, Huazhang Wang, Daji Ergu, Ying Cai, Yang Zhao:
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF. - Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin:
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. - Junseo Kim, Jongwook Han, Dongmin Choi, Jongwook Yoon, Eun-Ju Lee, Yohan Jo:
PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings. - Eunsu Kim, Haneul Yoo, Guijin Son, Hitesh Laxmichand Patel, Amit Agarwal, Alice Oh:
BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation. - Aviv Jan, Dean Tahory, Omer Talmi, Omar Abo Mokh:
Auto-Patching: Enhancing Multi-Hop Reasoning in Language Models. - Jun Wu, Yirong Xiong, Jiangtao Wen, Yuxing Han:
It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs. - Shuguo Hu, Jun Hu, Huaiwen Zhang:
Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection. - Shaofeng Zhang, Shengcai Liu, Ning Lu, Jiahao Wu, Ji Liu, Yew-Soon Ong, Ke Tang:
LLM-Driven Instance-Specific Heuristic Generation and Selection. - Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He:
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. - Ali Ghanizadeh, Ali Ahmadi, Arash Bahrami:
Multi-Objective Neural Network Assisted Design Optimization of Soft Fin-Ray Grippers for Enhanced Grasping Performance. - Xinyi Wang, Lirong Gao, Haobo Wang, Yiming Zhang, Junbo Zhao:
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts. - Ashutosh Gupta, Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik, David Pape:
Monitoring Robustness and Individual Fairness. - Diogo Landau, Ingeborg de Pater, Mihaela Mitici, Nishant Saurabh:
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study. - Krzysztof Gogol, Szczepan Gurgul, Faizan Nehal Siddiqui, David Branes, Claudio J. Tessone:
Scaling DeFi with ZK Rollups: Design, Deployment, and Evaluation of a Real-Time Proof-of-Concept. - Hanxiao Qu, Krzysztof Gogol, Florian Groetschla, Claudio J. Tessone:
From Rules to Rewards: Reinforcement Learning for Interest Rate Adjustment in DeFi Lending. - Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, Jaegul Choo:
Exploring In-context Example Generation for Machine Translation. - Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang:
Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems. - Yang Zheng, Mengqi Huang, Nan Chen, Zhendong Mao:
Pro3D-Editor : A Progressive-Views Perspective for Consistent and Precise 3D Editing. - Yaxiong Wang, Zhenqiang Zhang, Lechao Cheng, Zhun Zhong, Dan Guo, Meng Wang:
SSAM: Self-Supervised Association Modeling for Test-Time Adaption. - Tianhui Zhang, Bei Peng, Danushka Bollegala:
Evaluating the Evaluation of Diversity in Commonsense Generation. - Tzu-Shen Wang, Jimmy Dani, Juan Garay, Soamar Homsi, Nitesh Saxena:
Robust and Verifiable MPC with Applications to Linear Machine Learning Inference. - Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma:
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention. - Chenxu Liu, Zhiyu Gu, Guoquan Wu, Ying Zhang, Jun Wei, Tao Xie:
Temac: Multi-Agent Collaboration for Automated Web GUI Testing. - Xingtong Ge, Xin Zhang, Tongda Xu, Yi Zhang, Xinjie Zhang, Yan Wang, Jun Zhang:
SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation. - Runtao Ren, Jian Ma, Jianxi Luo:
Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuning. - Richard Connor, Alan Dearle, Ben Claydon:
Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings. - Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li:
CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing. - Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Dunnan Liu:
M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model. - Junquan Huang, Zong-Gan Chen, Yuncheng Jiang, Zhi-Hui Zhan:
RsGCN: Rescaling Enhances Generalization of GCNs for Solving Scalable Traveling Salesman Problems. - Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang:
The Security Threat of Compressed Projectors in Large Vision-Language Models. - Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu:
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing. - Ruihan Yang, Yikai Zhang, Aili Chen, Xintao Wang, Siyu Yuan, Jiangjie Chen, Deqing Yang, Yanghua Xiao:
ARIA: Training Language Agents with Intention-Driven Reward Aggregation. - Huayu Huang, Banglei Guan, Yang Shang, Qifeng Yu:
3D Trajectory Reconstruction of Moving Points Based on Asynchronous Cameras. - Mahdi Bejani, Guillermo Perez-de-Arenaza-Pozo, Julián D. Arias-Londoño, Juan Ignacio Godino-Llorente:
Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach. - Zhaoying Wang, Xingxing Zuo, Wei Dong:
Flying Co-Stereo: Enabling Long-Range Aerial Dense Mapping via Collaborative Stereo Vision of Dynamic-Baseline. - Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych:
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities. - Hyangsuk Min, Yuho Lee, Minjeong Ban, Jiaqi Deng, Nicole Hee-Yeon Kim, Taewon Yun, Hang Su, Jason Cai, Hwanjun Song:
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages. - Ming Wang, Peidong Wang, Lin Wu, Xiaocui Yang, Daling Wang, Shi Feng, Yuxin Chen, Bixuan Wang, Yifei Zhang:
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation. - Hadi Hosseini, Grzegorz Lisowski, Shraddha Pathak:
Two-Sided Manipulation Games in Stable Matching Markets. - Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Shujie Liu, Yan Lu, Huaxiu Yao:
MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning. - Adrian Azzarelli, Ge Gao, Ho Man Kwan, Fan Zhang, Nantheera Anantrasirichai, Ollie Moolan-Feroze, David Bull:
ViVo: A Dataset for Volumetric Video Reconstruction and Compression. - Florian Wintel, Sigmund H. Høeg, Gabriel Kiss, Frank Lindseth:
Using Diffusion Ensembles to Estimate Uncertainty for End-to-End Autonomous Driving. - Yule Zhu, Ping Liu, Zhedong Zheng, Wei Liu:
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models. - Ziyan Luo, Tianwei Ni, Pierre-Luc Bacon, Doina Precup, Xujie Si:
Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments. - Xinyu Feng, Yukun Wang, Cong Li, Wu Xin, Ming Yao, Dian Zhang, Wanwan Wang, Hao He:
Communication Efficient Multiparty Private Set Intersection from Multi-Point Sequential OPRF. - Ke Niu, Zhuofan Chen, Haiyang Yu, Yuwen Chen, Teng Fu, Mengyang Zhao, Bin Li, Xiangyang Xue:
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning. - Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi:
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. - Liang Geng:
A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge. - Dor Tsur, Ziv Goldfeld, Kristjan Greenewald, Haim H. Permuter:
Neural Estimation for Scaling Entropic Multimarginal Optimal Transport. - Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah:
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing. - Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah:
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing. - Yufa Zhou, Shaobo Wang, Xingyu Dong, Xiangqi Jin, Yifang Chen, Yue Min, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang:
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs. - Taihang Lei, Banglei Guan, Minzu Liang, Xiangyu Li, Jianbing Liu, Jing Tao, Yang Shang, Qifeng Yu:
Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement. - Merlin Schüler, Laurenz Wiskott:
Slow Feature Analysis as Variational Inference Objective. - Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe:
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. - Yuhang Zhou, Yimin Xiao, Wei Ai, Ge Gao:
The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation. - Yucheng Cai, Ke Li, Yi Huang, Junlan Feng, Zhijian Ou:
Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems. - Sonia Koszut, Sam Nallaperuma Herzberg, Pietro Lio:
Decoding the Stressed Brain with Geometric Machine Learning. - Jayanta Dey, Nicholas Soures, Miranda Gonzales, Itamar Lerner, Christopher Kanan, Dhireesha Kudithipudi:
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns. - Griffin F. Tabor, Tucker Hermans:
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification. - Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth:
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. - Chunyu Wei, Wenji Hu, Xingjia Hao, Yunhai Wang, Yueguo Chen, Bing Bai, Fei Wang:
Graph Evidential Learning for Anomaly Detection. - Danfeng li, Hui Zhang, Sheng Wang, Jiacheng Li, Zuxuan Wu:
Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control. - Junwen Huang, Jizhong Liang, Jiaqi Hu, Martin Sundermeyer, Peter KT Yu, Nassir Navab, Benjamin Busam:
XYZ-IBD: A High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity. - Xianghui Ze, Beiyi Zhu, Zhenbo Song, Jianfeng Lu, Yujiao Shi:
SatDreamer360: Geometry Consistent Street-View Video Generation from Satellite Imagery. - Jingke Sun, Liang Yang, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Hongwu Liu:
Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks. - Jungwoo Chae, Jiyoon Kim, Sangheum Hwang:
Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models. - Petros Raptopoulos, Giorgos Filandrianos, Maria Lymperaiou, Giorgos Stamou:
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements. - Running Yang, Wenlong Deng, Minghui Chen, Yuyin Zhou, Xiaoxiao Li:
Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation. - Julian Quevedo, Percy Liang, Sherry Yang:
Evaluating Robot Policies in a World Model. - Ziqi Liu, Pei Zeng, Yi Ding:
Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data. - Andreu Ballus Santacana:
An Incremental Framework for Topological Dialogue Semantics: Efficient Reasoning in Discrete Spaces. - Jingyi Yang, Shuai Shao, Dongrui Liu, Jing Shao:
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents. - Ming-Yu Chung, Jiashuo Fan, Hancheng Ye, Qinsi Wang, Wei-Chen Shen, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. - Haesung Pyun, Yoonah Park, Yohan Jo:
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples. - Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion. - Srikanth Avasarala, Serena Wang, Juba Ziani:
The Disparate Effects of Partial Information in Bayesian Strategic Learning. - Niyati Bafna, Matthew Wiesner:
LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speech. - Young Jin Park, François G. Germain, Jing Liu, Ye Wang, Toshiaki Koike-Akino, Gordon Wichern, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty:
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models. - Daniele Molino, Camillo Maria Caruso, Filippo Ruffini, Paolo Soda, Valerio Guarrasi:
Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining. - Adam Visokay, Ruth Bagley, Ian Kennedy, Chris Hess, Kyle Crowder, Rob Voigt, Denis Peskoff:
Social Construction of Urban Space: Understanding Neighborhood Boundaries Using Rental Listings. - Wei Chen, Yuxuan Liang:
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting. - Huy Ba Do, Vy Le-Phuong Huynh, Luan Thanh Nguyen:
ViToSA: Audio-Based Toxic Spans Detection on Vietnamese Speech Utterances. - Lorenzo Jaime Yu Flores, Ori Ernst, Jackie Chi Kit Cheung:
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics. - Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam:
AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents. - Yuliang Ji, Jian Wu, Yuanzhe Xi:
Rethinking Neural-based Matrix Inversion: Why can't, and Where can. - Weijie Xu, Shixian Cui, Xi Fang, Chi Xue, Stephanie Eckman, Chandan K. Reddy:
SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions. - Ana Rita Valente, Rufael Marew, Hawau Olamide Toyin, Hamdan Al-Ali, Anelise Bohnen, Inma Becerra, Elsa Marta Soares, Gonçalo Leal, Hanan Aldarmaki:
Clinical Annotations for Automatic Stuttering Severity Assessment. - Satoshi Tanaka, Samrat Thapa, Kok Seang Tan, Amadeusz Szymko, Lobos Kenzo, Koji Minoda, Shintaro Tomie, Kotaro Uetake, Guolong Zhang, Isamu Yamashita, Takamasa Horibe:
AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software. - Neil De La Fuente, Oscar Sainz, Iker García-Ferrero, Eneko Agirre:
GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction. - Nikolaos Sampanis:
Innovative Tangible Interactive Games for Enhancing Artificial Intelligence Knowledge and Literacy in Elementary Education: A Pedagogical Framework. - Yu Huang, Junhao Chen, Qi Zheng, Hanqian Li, Shuliang Liu, Xuming Hu:
Video Signature: In-generation Watermarking for Latent Video Diffusion Models. - Femi Bello, Anubrata Das, Fanzhi Zeng, Fangcong Yin, Liu Leqi:
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models. - Marco Di Gennaro, Francesco Panebianco, Marco Pianta, Stefano Zanero, Michele Carminati:
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection. - Zakir Hussain Shaik, Sai Subramanyam Thoota, Emil Björnson, Erik G. Larsson:
Over-the-Air Fronthaul Signaling for Uplink Cell-Free Massive MIMO Systems. - Aris J. Aristorenas:
Permutation-Invariant Transformer Neural Architectures for Set-Based Indoor Localization Using Learned RSSI Embeddings. - Lang Xiong, Raina Gao, Alyssa Jeong, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques. - Marco Di Gennaro, Mario D'Onghia, Mario Polino, Stefano Zanero, Michele Carminati:
PackHero: A Scalable Graph-based Approach for Efficient Packer Identification. - Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh:
Differential Privacy for Deep Learning in Medicine. - Richard E. Neddo, Sean Willis, Zander Blasingame, Chen Liu:
Poster: Adapting Pretrained Vision Transformers with LoRA Against Attack Vectors. - Yash Tiwari, Owais Ahmad Lone, Mayukha Pal:
OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases. - Vasilii Korolkov:
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis. - Martin Kuo, Jianyi Zhang, Aolin Ding, Louis DiValentin, Amin Hass, Benjamin F. Morris III, Isaac Jacobson, Randolph Linderman, James Kiessling, Nicolas Ramos, Bhavna Gopal, Maziyar Baran Pouyan, Changwei Liu, Hai Li, Yiran Chen:
SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues. - Yuelyu Ji, Hang Zhang, Shiven Verma, Hui Ji, Chun Li, Yushui Han, Yanshan Wang:
DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA. - Zhiwei Zhang, Samy Wu Fung, Anastasios Kyrillidis, Stanley J. Osher, Moshe Y. Vardi:
Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization. - Saad Hossain, Samanvay Vajpayee, Sirisha Rambhatla:
SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning. - Yuxiang Xu, Wenjuan Yu, Yuqian Wan, Zhongming Zhang:
Review of Blockchain-Based Approaches to Spent Fuel Management in Nuclear Power Plants. - Dimitrios Bralios, Paris Smaragdis, Jonah Casebeer:
Learning to Upsample and Upmix Audio in the Latent Domain. - Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzayev:
Encouraging Students' Responsible Use of GenAI in Software Engineering Education: A Causal Model and Two Institutional Applications. - Zhili Feng, Yixuan Even Xu, Alexander Robey, Robert Kirk, Xander Davies, Yarin Gal, Avi Schwarzschild, J. Zico Kolter:
Existing Large Language Model Unlearning Evaluations Are Inconclusive. - (Withdrawn) Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning.
- Emory Smith, Robert Wallace, Matthew Robison, Yu Huang, Collin McMillan:
Human Attention During Localization of Memory Bugs in C Programs. - Li Zhang, Morgan A. Gray, Jaromír Savelka, Kevin D. Ashley:
Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. - Megan Harris, Ehsanoddin Ghorbanichemazkati, Mohammad Mahdi Naderi, John C. Little, Amro M. Farid:
Integrative, Scalable Modeling of Hydrological Systems with MBSE and HFGT. - Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu:
Concept-Centric Token Interpretation for Vector-Quantized Generative Models. - Nikola Milosevic, Johannes Müller, Nico Scherf:
Central Path Proximal Policy Optimization. - Yongchao Huang:
Bayesian Inference of Training Dataset Membership. - Ibrahima Dione:
Stabilization of the Gradient Method for Solving Linear Algebraic Systems - A Method Related to the Normal Equation. - Anahita Jain, Husni R. Idris, John-Paul Clarke, Daniel Delahaye:
Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems. - Daozhe Lin, Qiang Du:
Nonlinear Optimal Recovery in Hilbert Spaces. - Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang:
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains. - Valter Hudovernik, Minkai Xu, Juntong Shi, Lovro Subelj, Stefano Ermon, Erik Strumbelj, Jure Leskovec:
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models. - Wei Dai, Peilin Chen, Chanakya Ekbote, Paul Pu Liang:
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training. - Debarati Bhattacharjee, Ashish Anand:
From Argumentative Text to Argument Knowledge Graph: A New Framework for Structured Argumentation. - Mingwei Zheng, Chengpeng Wang, Xuwei Liu, Jinyao Guo, Shiwei Feng, Xiangyu Zhang:
An LLM Agent for Functional Bug Detection in Network Protocols. - Shi Mao, Yogeshwar Nath Mishra, Wolfgang Heidrich:
Fovea Stacking: Imaging with Dynamic Localized Aberration Correction. - Mina Huh, Zihui Xue, Ujjaini Das, Kumar Ashutosh, Kristen Grauman, Amy Pavel:
Vid2Coach: Transforming How-To Videos into Task Assistants. - Tianqin Li, Ziqi Wen, Leiran Song, Jun Liu, Zhi Jing, Tai Sing Lee:
From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models. - Mordechai Guri, Dor Fibert:
Browser Fingerprinting Using WebAssembly. - Siddharth Prabhu, Srinivas Rangarajan, Mayuresh V. Kothare:
Bi-Level optimization for parameter estimation of differential equations using interpolation. - Tianze Yang, Tyson Jordan, Ninghao Liu, Jin Sun:
Common Inpainted Objects In-N-Out of Context. - Siddhant Arora, Jinchuan Tian, Hayato Futami, Jee-weon Jung, Jiatong Shi, Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe:
Chain-of-Thought Training for Open E2E Spoken Dialogue Systems. - Daniel Paleka, Shashwat Goel, Jonas Geiping, Florian Tramèr:
Pitfalls in Evaluating Language Model Forecasters. - Siddharth Prabhu, Srinivas Rangarajan, Mayuresh V. Kothare:
A condensing approach to multiple shooting neural ordinary differential equation. - Hongye Zheng, Yichen Wang, Ray Pan, Guiran Liu, Binrong Zhu, Hanlu Zhang:
Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models. - Javier Bisbal, Julio Sotelo, Maria I Valdés, Pablo Irarrazaval, Marcelo E. Andia, Julio García, Jose Rodriguez-Palomares, Francesca Raimondi, Cristian Tejos, Sergio Uribe:
Adaptive Plane Reformatting for 4D Flow MRI using Deep Reinforcement Learning. - Binghang Lu, Changhong Mou, Guang Lin:
MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter. - Caio Corro, Mathieu Lacroix, Joseph Le Roux:
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms. - Kenji Nakagawa, Yoshinori Takei:
A Sequential Computation Algorithm for the Center of the Smallest Enclosing Ball. - Tashik Ahmed, Sumaitha Jannat, Md. Farhadul Islam, Jannatun Noor:
Involution-Infused DenseNet with Two-Step Compression for Resource-Efficient Plant Disease Classification. - Yulia Otmakhova, Lea Frermann:
Narrative Media Framing in Political Discourse. - Chiyu Zhang, Marc-Alexandre Cote, Michael Albada, Anush Sankaran, Jack W. Stokes, Tong Wang, Amir H. Abdi, William Blum, Muhammad Abdul-Mageed:
DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments. - Harveen Singh Chadha, Aswin Shanmugam Subramanian, Vikas Joshi, Shubham Bansal, Jian Xue, Rupeshkumar Mehta, Jinyu Li:
Length Aware Speech Translation for Video Dubbing. - Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov:
Data Swarms: Optimizable Generation of Synthetic Evaluation Data. - Zeqi Gu, Yin Cui, Zhaoshuo Li, Fangyin Wei, Yunhao Ge, Jinwei Gu, Ming-Yu Liu, Abe Davis, Yifan Ding:
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary. - Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda:
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection. - Kazuki Irie, Morris Yau, Samuel J. Gershman:
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers. - Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu:
Controlling the Spread of Epidemics on Networks with Differential Privacy. - Julian Andrej, Tzanio V. Kolev, Boyan S. Lazarov:
Scalable Analysis and Design Using Automatic Differentiation. - Pardis Sadat Zahraei, Ali Emami:
Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations. - Mania Abdi, Peter Desnoyers, Mark Crovella, Raja R. Sambasivan:
The workflow motif: a widely-userful performance diagnosis abstraction for distributed applications. - Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le:
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning. - Zhuojun Gu, Quan Wang, Shuchu Han:
Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences? - Benjamin Civjan, Bo Chen, Ruixiao Zhang, Klara Nahrstedt:
EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices. - Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng:
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift. - Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang:
Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons. - Gautam Chandrasekaran, Adam R. Klivans:
Learning Juntas under Markov Random Fields. - Shengkun Wang, Yanshen Sun, Fanglan Chen, Linhan Wang, Naren Ramakrishnan, Chang-Tien Lu, Yinlin Chen:
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset. - Ze Zhang, Qian Dong:
RAIL: An Accurate and Fast Angle-inferred Localization Algorithm for UAV-WSN Systems. - Sai Vamsi Alisetti, Vikas Kalagi, Sanjukta Krishnagopal:
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies. - Zitao Chen, Yinjun Jia, Zitong Tian, Wei-Ying Ma, Yanyan Lan:
Manipulating 3D Molecules in a Fixed-Dimensional SE(3)-Equivariant Latent Space. - Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu:
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. - Boheng Sheng, Jiacheng Yao, Meicong Zhang, Guoxiu He:
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models. - Milad Khanchi, Maria Amer, Charalambos Poullis:
Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking. - Md. Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang:
Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge. - Jingyu Liu, Jingquan Peng, Xiaopeng Wu, Xubin Li, Tiezheng Ge, Bo Zheng, Yong Liu:
Do not Abstain! Identify and Solve the Uncertainty. - Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho:
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles. - Weiyang Guo, Zesheng Shi, Zhuo Li, Yequan Wang, Xuebo Liu, Wenya Wang, Fangming Liu, Min Zhang, Jing Li:
Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning. - Rong Wu, Pinlong Cai, Jianbiao Mei, Licheng Wen, Tao Hu, Xuemeng Yang, Daocheng Fu, Botian Shi:
KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision. - Shaily Bhatt, Tal August, Maria Antoniak:
Research Borderlands: Analysing Writing Across Research Cultures. - Sahiti Yerramilli, Nilay Pande, Rynaa Grover, Jayant Sravan Tamarapalli:
GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning. - Kanishk Choudhary:
Aiding Medical Diagnosis through Image Synthesis and Classification. - Djaber Rouabhia, Ismail Hadjadj:
Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation. - Yixiao Zeng, Tianyu Cao, Danqing Wang, Xinran Zhao, Zimeng Qiu, Morteza Ziyadi, Tongshuang Wu, Lei Li:
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems. - Joseph Strauss, Krishna Upadhyay, A. B. Siddique, Ibrahim Baggili, Umar Farooq:
Assessing and Enhancing Quantum Readiness in Mobile Apps. - Xuejiao Ma, Haibo Zhao, Zinuo Guo, Yijie Guo, Guanhong Liu, Bo Jiang:
CO-OPERA: A Human-AI Collaborative Playwriting Tool to Support Creative Storytelling for Interdisciplinary Drama Education. - Jiaxin Wen, Chenglei Si, Yueh-han Chen, He He, Shi Feng:
Predicting Empirical AI Research Outcomes with Language Models. - Xing Lei, Zifeng Zhuang, Shentao Yang, Sheng Xu, Yunhao Luo, Fei Shen, Xuetao Zhang, Donglin Wang:
Bridging Supervised and Temporal Difference Learning with Q-Conditioned Maximization. - Jianglin Ding, Jingcheng Tang, Gangshan Jing:
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning. - Jiankai Zheng, Liang Xie:
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting. - Kaiyang Li, Shaobo Han, Qing Su, Wei Li, Zhipeng Cai, Shihao Ji:
Uni-LoRA: One Vector is All You Need. - Yun-Feng Lo, Changmin Lee, Chan-Byoung Chae:
Three-Dimensional Channel Modeling for Molecular Communications in Tubular Environments with Heterogeneous Boundary Conditions. - Songtao Jiang, Yan Zhang, Yeying Jin, Zhihang Tang, Yangyang Wu, Yang Feng, Jian Wu, Zuozhu Liu:
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models. - Songtao Jiang, Chenyi Zhou, Yan Zhang, Yeying Jin, Zuozhu Liu:
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering. - Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, Costas J. Spanos:
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision. - Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang:
Unlearning Inversion Attacks for Graph Neural Networks. - Nabarun Goswami, Tatsuya Harada:
FUSE: Universal Speech Enhancement using Multi-Stage Fusion of Sparse Compression and Token Generation Models for the URGENT 2025 Challenge. - Zhisheng Yin, Nan Cheng, Mingjie Wang, Changle Li, Wei Xiang:
Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission. - Jingyi Xi, Chenghao Mo, Benjamin Karsin, Artem M. Chirkin, Mingqin Li, Minjia Zhang:
VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs. - Jiaqi Luo, Yuan Yuan, Shixin Xu:
TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning. - Zifeng Zhu, Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo, Yulia Tsvetkov:
GuessBench: Sensemaking Multimodal Creativity in the Wild. - Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Raj Surana, Akhil Rajeev P, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal:
From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses. - Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang:
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. - Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin:
One for All: Update Parameterized Knowledge Across Multiple Models. - Dawood Wasif, Terrence J. Moore, Chandan K. Reddy, Jin-Hee Cho:
DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving. - Jiatong Li, Libo Zhu, Haotong Qin, Jingkai Wang, Linghe Kong, Guihai Chen, Yulun Zhang, Xiaokang Yang:
QuantFace: Low-Bit Post-Training Quantization for One-Step Diffusion Face Restoration. - Huixin Zhan, Jason H. Moore:
SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models. - Faisal Ahmed, Myungjin Lee, Shao-Yu Lien, Suresh Subramaniam, Motoharu Matsuura, Hiroshi Hasegawa, Shih-Chun Lin:
Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration. - Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Zhengwen Feng, Hao Peng, Jianwei Yin:
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks. - Chandula Fernando, Kushani De Silva:
Improving population size adapting CMA-ES algorithm on step-size blow-up in weakly-structured multimodal functions. - Yongkang Xiao, Rui Zhang:
HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs. - Zachary Chavis, Stephen J. Guy, Hyun Soo Park:
Improving Keystep Recognition in Ego-Video via Dexterous Focus. - Chao Wang, Yue Zheng, Yujing Zhang, Yan Feng, Zhe Wang, Xiaowei Shi, An You, Yu Chen:
Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System. - Keyuan Cheng, Zijian Kan, Zhixian He, Zhuoran Zhang, Muhammad Asif Ali, Ke Xu, Lijie Hu, Di Wang:
COMPKE: Complex Question Answering under Knowledge Editing. - Zhengcong Fei, Hao Jiang, Di Qiu, Baoxuan Gu, Youqiang Zhang, Jiahua Wang, Jialin Bai, Debang Li, Mingyuan Fan, Guibin Chen, Yahui Zhou:
SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers. - M. Sabbir Salek, Mashrur Chowdhury, Muhaimin Bin Munir, Yuchen Cai, Mohammad Imtiaz Hasan, Jean Michel Tine, Latifur Khan, Mizanur Rahman:
A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems. - Kyowoon Lee, Artyom Stitsyuk, Gunu Jho, Inchul Hwang, Jaesik Choi:
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models. - Weitao Wang, T. S. Eugene Ng:
Söze: One Network Telemetry Is All You Need for Per-flow Weighted Bandwidth Allocation at Scale. - Jisheng Dang, Yizhou Zhang, Hao Ye, Teng Wang, Siming Chen, Huicheng Zheng, Yulan Guo, Jianhuang Lai, Bin Hu:
SynPO: Synergizing Descriptiveness and Preference Optimization for Video Detailed Captioning. - Baolu Li, Hongkai Yu, Huiming Sun, Jin Ma, Yuewei Lin, Lu Ma, Yonghua Du:
Advancing from Automated to Autonomous Beamline by Leveraging Computer Vision. - Zhiqing Luo, Yi Wang, Yingying He, Wei Wang:
Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance. - Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Ram Vasudevan, Maani Ghaffari, Luca Carlone:
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. - Pedro Figueirêdo, Qihao He, Nima Khademi Kalantari:
Neural Path Guiding with Distribution Factorization. - Jiawei Gu, Ziting Xian, Yuanzhen Xie, Ye Liu, Enjie Liu, Ruichao Zhong, Mochi Gao, Yunzhi Tan, Bo Hu, Zang Li:
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience. - Xingyu Wu, Kui Yu, Jibin Wu, Kay Chen Tan:
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. - Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov:
Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning. - Mana Sakai, Ryo Karakida, Masaaki Imaizumi:
Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs. - Jiali Cheng, Hadi Amiri:
Speech Unlearning. - Qi Chen, Jierui Zhu, Florian Shkurti:
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis. - Dena F. Mujtaba, Nihar R. Mahapatra:
Fine-Tuning ASR for Stuttered Speech: Personalized vs. Generalized Approaches. - Jacky Tai-Yu Lu, Jung Chiang, Chi-Sheng Chen, Anna Nai-Yun Tung, Hsiang Wei Hu, Yuan Chiao Cheng:
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG. - Sau Lai Yip, Sunan He, Yuxiang Nie, Shu Pui Chan, Yilin Ye, Sum Ying Lam, Hao Chen:
MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book. - Luca Collini, Jitendra Bhandari, Chiara Muscari Tomajoli, Abdul Khader Thalakkattu Moosa, Benjamin Tan, Xifan Tang, Pierre-Emmanuel Gaillardon, Ramesh Karri, Christian Pilato:
ARIANNA: An Automatic Design Flow for Fabric Customization and eFPGA Redaction. - Qianchao Wang, Peng Sha, Leena Heistrene, Yuxuan Ding, Yaping Du:
Interpretable Spatio-Temporal Features Extraction based Industrial Process Modeling and Monitoring by Soft Sensor. - Md. Kowsher, Nusrat Jahan Prottasha, Shiyun Xu, Shetu Mohanto, Chen Chen, Ozlem O. Garibay, Niloofar Yousefi:
How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. - Haixin Wang, Jiashu Pan, Hao Wu, Fan Zhang, Tailin Wu:
FourierFlow: Frequency-aware Flow Matching for Generative Turbulence Modeling. - Nidhi Kowtal, Raviraj Joshi:
L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models. - Jiajun He, Jinyi Mi, Tomoki Toda:
GIA-MIC: Multimodal Emotion Recognition with Gated Interactive Attention and Modality-Invariant Learning Constraints. - Kyowoon Lee, Jaesik Choi:
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning. - Parul Gupta, Shreya Ghosh, Tom Gedeon, Thanh-Toan Do, Abhinav Dhall:
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. - Zhaotian Weng, Haoxuan Li, Kuan-Hao Huang, Jieyu Zhao:
What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. - Kapil Dev:
Hybridizing Expressive Rendering: Stroke-Based Rendering with Classic and Neural Methods. - Ryo Fujii, Hideo Saito, Ryo Hachiuma:
Towards Predicting Any Human Trajectory In Context. - Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li:
Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection. - Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin:
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning. - Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta:
Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning. - Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang:
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models. - Farong Wen, Yijin Guo, Junying Wang, Jiaohao Xiao, Yingjie Zhou, Chunyi Li, Zicheng Zhang, Guangtao Zhai:
Improve MLLM Benchmark Efficiency through Interview. - Leying Zhang, Yao Qian, Xiaofei Wang, Manthan Thakker, Dongmei Wang, Jianwei Yu, Haibin Wu, Yuxuan Hu, Jinyu Li, Yanmin Qian, Sheng Zhao:
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching. - Hongru Wang, Cheng Qian, Manling Li, Jiahao Qiu, Boyang Xue, Mengdi Wang, Heng Ji, Kam-Fai Wong:
Toward a Theory of Agents as Tool-Use Decision-Makers. - Jooyeol Lee:
An Integrated Platform for LEED Certification Automation Using Computer Vision and LLM-RAG. - Sa Zhu, Huashan Chen, Wanqian Zhang, Jinchao Zhang, Zexian Yang, Xiaoshuai Hao, Bo Li:
Uneven Event Modeling for Partially Relevant Video Retrieval. - Junying Wang, Wenzhe Li, Yalun Wu, Yingji Liang, Yijin Guo, Chunyi Li, Haodong Duan, Zicheng Zhang, Guangtao Zhai:
Affordance Benchmark for MLLMs. - Keyuan Cheng, Xudong Shen, Yihao Yang, Tengyue Wang, Yang Cao, Muhammad Asif Ali, Hanbin Wang, Lijie Hu, Di Wang:
CODEMENV: Benchmarking Large Language Models on Code Migration. - Kyowoon Lee, Jaesik Choi:
State-Covering Trajectory Stitching for Diffusion Planners. - Jiadong He, Liang Yu, Zhiqiang Chen, Dawei Qiu, Dong Yue, Goran Strbac, Meng Zhang, Yujian Ye, Yi Wang:
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management. - Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang:
SocialEval: Evaluating Social Intelligence of Large Language Models. - Yehun Song, Sunyoung Cho:
Leveraging CLIP Encoder for Multimodal Emotion Recognition. - Xander Küpers, Jeroen Klein Brinke, Rob H. Bemthuis, Özlem Durmaz Incel:
Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras. - Xianbing Sun, Yan Hong, Jiahui Zhan, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang:
DS-VTON: High-Quality Virtual Try-on via Disentangled Dual-Scale Generation. - Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Dongseop Kim, Sung Ju Hwang:
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models. - William Overman, Mohsen Bayati:
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models. - Yongdong chi, Hanqing Wang, Zonghan Yang, Jian Yang, Xiao Yan, Yun Chen, Guanhua Chen:
Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages. - Aishik Nagar, Ishaan Singh Rawal, Mansi Dhanania, Cheston Tan:
How do Transformer Embeddings Represent Compositions? A Functional Analysis. - Mengyuan Liu, Hong Liu, Qianshuo Hu, Bin Ren, Junsong Yuan, Jiaying Lin, Jiajun Wen:
3D Skeleton-Based Action Recognition: A Review. - Priyank Agrawal, Shipra Agrawal, Azmat Azati:
Q-learning with Posterior Sampling. - Lennart Bramlage, Cristóbal Curio:
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks. - Philip Heejun Lee:
Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation. - Roberto Bacani Figueroa Jr., Mai Huong Nguyen, Aliza Ali, Lugsamee Nuamthanom Kimura, Marisa Marisa, Ami Hibatul Jameel, Luisa Almeda Gelisan:
Integrating Emerging Technologies in Virtual Learning Environments: A Comparative Study of Perceived Needs among Open Universities in Five Southeast Asian Countries. - Senol Gülgönül:
IAE Optimized PID Tuning with Phase Margin and Crossover Frequency Constraints. - Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi:
Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison. - Tianrui Pan, Jie Liu, Zewen Huang, Jie Tang, Gangshan Wu:
In-the-wild Audio Spatialization with Flexible Text-guided Localization. - Olga Loginova, Sofía Ortega Loguinova:
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times. - Suchi Kumari, Dhruv Mishra:
Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning. - Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian:
Aligning VLM Assistants with Personalized Situated Cognition. - Qiao Xiao, Boqian Wu, Andrey Poddubnyy, Elena Mocanu, Phuong H. Nguyen, Mykola Pechenizkiy, Decebal Constantin Mocanu:
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity. - Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden:
General-purpose audio representation learning for real-world sound scenes. - Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu:
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning. - Haitao Li, Ziyu Li, Yiheng Mao, Ziyi Liu, Zhoujian Sun, Zhengxing Huang:
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding. - Chanuka Wijayakoon, Hai Dong, H. M. N. Dilum Bandara, Zahir Tari, Anurag Soin:
Legal Compliance Evaluation of Smart Contracts Generated By Large Language Models. - Chen Li, Chunlei Li, Xiangyong Zeng, Dian Li:
Constructions of Optimal Frequency-Hopping Sequences with Controlled Minimum Gaps. - Riccardo Tenderini, Luca Pegolotti, Fanwei Kong, Stefano Pagani, Francesco Regazzoni, Alison L. Marsden, Simone Deparis:
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs. - Shuyang Xiang:
Physics-Informed Neural Networks for the Relativistic Burgers Equation in the Exterior of a Schwarzschild Black Hole. - Yiyao Huang, Zhedong Zheng, Yu Ziwei, Yaxiong Wang, Tze Ho Elden Tse, Angela Yao:
TIGeR: Text-Instructed Generation and Refinement for Template-Free Hand-Object Interaction. - Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen:
AliBoost: Ecological Boosting Framework in Alibaba Platform. - Zhu Li, Yuqing Zhang, Xiyuan Gao, Shekhar Nayak, Matt Coler:
Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection. - Geonu Lee, Yujeong Oh, Geonhui Jang, Soyoung Lee, Jeonghyo Song, Sungmin Cha, Young Joon Yoo:
Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection. - Youngmin Kim, Jiwan Chung, Jisoo Kim, Sunghyun Lee, Sangkyu Lee, Junhyeok Kim, Cheoljong Yang, Youngjae Yu:
Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues. - Xiaohan Wang, Yu Zhang, Guibin Jiang, Bing Cheng, Wei Lin:
Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation. - Ofri Eisen, Ron Dorfman, Kfir Y. Levy:
Enhancing Parallelism in Decentralized Stochastic Convex Optimization. - Enric Ribera Borrell, Lorenz Richter, Christof Schütte:
Reinforcement Learning with Random Time Horizons. - Cheng Cheng, Zhenya Huang, Guanhao Zhao, Yuxiang Guo, Xin Lin, Jinze Wu, Xin Li, Shijin Wang:
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation. - Dren Fazlija, Arkadij Orlov, Sandipan Sikdar:
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness. - Fan Liu, Bikang Pan, Zhongyi Wang, Xi Yao, Xiaoying Tang, Jingya Wang, Ye Shi:
Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts. - Tingting Zhang, Sergiy A. Vorobyov, David J. Love, Taejoon Kim, Kai Dong:
Pilot Contamination-Aware Graph Attention Network for Power Control in CFmMIMO. - Linhan Xia, Mingzhan Yang, Guohui Yuan, Shengnan Tao, Yujing Qiu, Guo Yu, Kai Lei:
PolyBERT: Fine-Tuned Poly Encoder BERT-Based Model for Word Sense Disambiguation. - Jiashuo Liu, Peng Cui:
Data Heterogeneity Modeling for Trustworthy Machine Learning. - Xingguang Zhong, Yue Pan, Liren Jin, Marija Popovic, Jens Behley, Cyrill Stachniss:
Globally Consistent RGB-D SLAM with 2D Gaussian Splatting. - Vadivel Abishethvarman, Bhavik Chandna, Pratik Jalan, Usman Naseem:
XGUARD: A Graded Benchmark for Evaluating Safety Failures of Large Language Models on Extremist Content. - Zahra Dehghanian, Pouya Ardekhani, Amir Vahedi, Hamid Beigy, Hamid R. Rabiee:
Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions. - Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao:
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. - Jonathan Bobrutsky, Amit Moscovich:
Quantization-based Bounds on the Wasserstein Metric. - Zhan Li, Mingyu Zhao, Xin Dong, Haibin Ling, Bingyao Huang:
CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack. - Wayne Zhang, Changjiang Jiang, Zhonghao Zhang, Chenyang Si, Fengchang Yu, Wei Peng:
IVY-FAKE: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection. - Sina J. Semnani, Pingyue Zhang, Wanyue Zhai, Haozhuo Li, Ryan Beauchamp, Trey Billing, Katayoun Kishi, Manling Li, Monica S. Lam:
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World. - Marianne de Heer Kloots, Hosein Mohebbi, Charlotte Pouw, Gaofei Shen, Willem H. Zuidema, Martijn Bentum:
What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training. - Keshawn Smith, Zhili Zhang, H. M. Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, Fei Miao:
Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles. - Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. - Valeriya Goloviznina, Alexander Sergeev, Mikhail Melnichenko, Evgeny V. Kotelnikov:
Do LLMs Understand Why We Write Diaries? A Method for Purpose Extraction and Clustering. - Alexander Sergeev, Valeriya Goloviznina, Mikhail Melnichenko, Evgeny V. Kotelnikov:
Talking to Data: Designing Smart Assistants for Humanities Databases. - Wenhai Lai, Jiawei Yao, Kaiming Shen:
Blind Passive Beamforming for MIMO System. - Zahra Dehghanian, Morteza Abolghasemi, Hossein Azizinaghsh, Amir Vahedi, Hamid Beigy, Hamid R. Rabiee:
LensCraft: Your Professional Virtual Cinematographer. - Buyun He, Xiaorui Jiang, Qi Wu, Hao Liu, Yingguang Yang, Yong Liao:
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery. - Xiaorong Zhu, Ziheng Jia, Jiarui Wang, Xiangyu Zhao, Haodong Duan, Xiongkuo Min, Jia Wang, Zicheng Zhang, Guangtao Zhai:
GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs. - Peng Hui, Jiamuyang Zhao, Changxin Li, Qingzhen Zhu:
Quotient Network - A Network Similar to ResNet but Learning Quotients. - Yunzhu Zhang, Yu Lu, Tianyi Wang, Fengyun Rao, Yi Yang, Linchao Zhu:
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding. - Puyin Wang, Jinquan Luo:
A Generic Construction on Self-orthogonal Algebraic Geometric Codes and Its Applications. - Kinam Kim, Junha Hyung, Jaegul Choo:
Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models. - Min Je Kim, Muhammad Munsif, Altaf Hussain, Hikmat Yar, Sung Wook Baik:
Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns. - Changshun Wu, Tianyi Duan, Saddek Bensalem, Chih-Hong Cheng:
LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers. - Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu:
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts. - Rukuo Li, Jianchun Liu, Hongli Xu, Liusheng Huang:
FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning. - Junli Jiang, Pavel Naumov:
Higher-Order Responsibility. - Tong Zhang, Juan Carlos León Alcázar, Bernard Ghanem:
Motion-Aware Concept Alignment for Consistent Video Editing. - Daniel Hausmann, Merlin Humml, Simon Prucker, Lutz Schröder:
Efficient Model Checking for the Alternating-Time μ-Calculus via Effectivity Frames. - Siqi Hui, Yiren Song, Sanping Zhou, Ye Deng, Wenli Huang, Jinjun Wang:
Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack. - Yuyuan Liu, Yuanhong Chen, Chong Wang, Junlin Han, Junde Wu, Can Peng, Jingkun Chen, Yu Tian, Gustavo Carneiro:
AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. - Olya Mastikhina, Dhruv Sreenivas, Pablo Samuel Castro:
Optimistic critics can empower small actors. - Ming Meng, Ziyi Yang, Jian Yang, Zhenjie Su, Yonggui Zhu, Zhaoxin Fan:
DS-TTS: Zero-Shot Speaker Style Adaptation from Voice Clips via Dynamic Dual-Style Feature Modulation. - Shenghui Lu, Hukai Huang, Jinanglong Yao, Kaidi Wang, Qingyang Hong, Lin Li:
A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement. - Xudong Ma, Nantheera Anantrasirichai, Stefanos Bolomytis, Alin Achim:
Modality Translation and Registration of MR and Ultrasound Images Using Diffusion Models. - Harsha Yelchuri, Diwakar Kumar Singh, Nithish Krishnabharathi Gnani, T. V. Prabhakar, Chandramani Singh:
RoboTwin: A Robotic Teleoperation Framework Using Digital Twins. - Yanyuan Qiao, Haodong Hong, Wenqi Lyu, Dong An, Siqi Zhang, Yutong Xie, Xinyu Wang, Qi Wu:
NavBench: Probing Multimodal Large Language Models for Embodied Navigation. - Pengyu Ren, Wenhao Guan, Kaidi Wang, Peijie Chen, Qingyang Hong, Lin Li:
ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization. - Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk, Michael Heck, Renato Vukovic, Shutong Feng, Hsien-Chin Lin, Nurul Lubis, Bastian Rieck, Marcus Zibrowius, Milica Gasic:
Less is More: Local Intrinsic Dimensions of Contextual Language Models. - Shijun Shi, Jing Xu, Lijing Lu, Zhihang Li, Kai Hu:
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution. - Zuzheng Kuang, Haixia Bi, Chen Xu, Jian Sun:
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification. - Yu Zheng, Yuan Yuan, Yong Li, Paolo Santi:
Probing Neural Topology of Large Language Models. - Saraju P. Mohanty, Elias Kougianos:
iVAMS 3.0: Hierarchical-Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Ultra-Fast, Accurate Mixed-Signal Design Optimization. - Ziwon Yoon, Lawrence Y. Zhu, Lu Gan, Ye Zhao:
STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain. - Phan Anh Duong, Cat Luong, Divyesh Bommana, Tianyu Jiang:
CHEER-Ekman: Fine-grained Embodied Emotion Classification. - Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu:
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. - Siyuan Li, Juanxi Tian, Zedong Wang, Xin Jin, Zicheng Liu, Wentao Zhang, Dan Xu:
Taming LLMs by Scaling Learning Rates with Gradient Grouping. - Priyadarshi Mukherjee, Constantinos Psomas, Himal A. Suraweera, Ioannis Krikidis:
Chaotic Noncoherent SWIPT in Multi-Functional RIS-Aided Systems. - Wei-Cheng Lee, Francesco Orabona:
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity. - Attila Szász, Balázs Bánhelyi, Márk Jelasity:
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks. - Meysam Alizadeh, Zeynab Samei, Daria Stetsenko, Fabrizio Gilardi:
Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution. - Xiang Fei, Xiawu Zheng, Hao Feng:
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents. - Jun Rui Lee, Sadegh Emami, Michael David Hollins, Timothy C. H. Wong, Carlos Ignacio Villalobos Sánchez, Francesca Toni, Dekai Zhang, Adam Dejl:
XAI-Units: Benchmarking Explainability Methods with Unit Tests. - Dahyeon Kye, Changhyun Roh, Sukhun Ko, Chanho Eom, Jihyong Oh:
AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation. - Thinh Pham, Nguyen Nguyen, Pratibha Zunjare, Weiyuan Chen, Yu-Min Tseng, Tu Vu:
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models. - Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne:
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts. - Yudong Zhang, Ruobing Xie, Yiqing Huang, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Di Wang, Yu Wang:
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs. - Ivan Milinovic, Leon Stjepan Uroic, Marko Durasevic:
Trilevel Memetic Algorithm for the Electric Vehicle Routing Problem. - Malik A. Altayar, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Wesam T. Almagharbeh:
Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety. - Jiali Ma, Jiequan Cui, Kazuki Maeno, Lakshmi Subramanian, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang:
Aligned Contrastive Loss for Long-Tailed Recognition. - Shuyu Chen, Guopeng Lin, Haoyu Niu, Lushan Song, Chengxun Hong, Weili Han:
IDCloak: A Practical Secure Multi-party Dataset Join Framework for Vertical Privacy-preserving Machine Learning. - Mingzhe Hu, Yuan Gao, Yuheng Li, Ricahrd LJ Qiu, Chih-Wei Chang, Keyur D. Shah, Priyanka Kapoor, Beth Bradshaw, Yuan Shao, Justin Roper, Jill Remick, Zhen Tian, Xiaofeng Yang:
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning. - Amir Hossein Kargaran, Yihong Liu, François Yvon, Hinrich Schütze:
How Programming Concepts and Neurons Are Shared in Code Language Models. - Mohsen Heidari, Roni Khardon:
Learning DNF through Generalized Fourier Representations. - Sergey Goncharov, Pouya Partow, Stelios Tsampas:
Big Steps in Higher-Order Mathematical Operational Semantics. - Yueqian Guo, Tianzhao Li, Xin Lyu, Jiehaolin Chen, Zhaohan Wang, Sirui Xiao, Yurun Chen, Yezi He, Helin Li, Fan Zhang:
TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans. - Yufei Zhan, Ziheng Wu, Yousong Zhu, Rongkun Xue, Ruipu Luo, Zhenghao Chen, Can Zhang, Yifan Li, Zhentao He, Zheming Yang, Ming Tang, Minghui Qiu, Jinqiao Wang:
GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking. - Long Qian, Eric Wang, Bernardo Subercaseaux, Marijn J. H. Heule:
Unfolding Boxes with Local Constraints.