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ORCIDCoRR, May 2025
Volume 2025-05, May 2025
- Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Sean O'Brien, Kevin Zhu:
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. - Vincent C. Müller:
Symbol grounding in computational systems: A paradox of intentions. - Zizhou Liu, Ziwei Gong, Lin Ai, Zheng Hui, Run Chen, Colin Wayne Leach, Michelle R. Greene, Julia Hirschberg:
The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs. - Danilo S. Carvalho, Yingji Zhang, Harriet Unsworth, André Freitas:
LangVAE and LangSpace: Building and Probing for Language Model VAEs. - Yujian Fu:
Belief System Dynamics as Network of Single Layered Neural Network. - Hayden S. Helm, Tianyi Chen
, Harvey McGuinness, Paige Lee, Brandon Duderstadt, Carey E. Priebe:
Toward a digital twin of U.S. Congress. - Zhaoyi Sun, Wen-wai Yim, Özlem Uzuner, Fei Xia, Meliha Yetisgen:
A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination. - Xiao Zhang, Kangsheng Wang, Tianyu Hu, Huimin Ma:
Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation. - Tri Nguyen, Lohith Srikanth Pentapalli, Magnus Sieverding, Laurah Turner, Seth Overla, Weibing Zheng, Chris Zhou, David Furniss, Danielle Weber, Michael Gharib, Matt Kelleher, Michael Shukis, Cameron Pawlik, Kelly Cohen:
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models. - Mehdi B. Tahoori, Emre Ozer, Georgios Zervakis, Konstantinos Balaskas, Priyanjana Pal:
Computing with Printed and Flexible Electronics. - Fabian Retkowski, Andreas Sudmann, Alexander Waibel:
The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? - Yoichi Takenaka:
Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa. - Vinit K. Chavan:
Manifold-Constrained Sentence Embeddings via Triplet Loss: Projecting Semantics onto Spheres, Tori, and Möbius Strips. - MD Thamed Bin Zaman Chowdhury, Moazzem Hossain:
Design and Application of Multimodal Large Language Model Based System for End to End Automation of Accident Dataset Generation. - Josefa Lia Stoisser, Marc Boubnovski Martell, Julien Fauqueur:
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning. - Dezheng Han, Yibin Jia, Ruxiao Chen, Wenjie Han, Shuaishuai Guo, Jianbo Wang:
ReCellTy: Domain-specific knowledge graph retrieval-augmented LLMs workflow for single-cell annotation. - Ju Wu, Calvin K. L. Or:
Position Paper: Towards Open Complex Human-AI Agents Collaboration System for Problem-Solving and Knowledge Management. - Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang:
An Empirical Study on Prompt Compression for Large Language Models. - Sruly Rosenblat, Tim O'Reilly, Ilan Strauss:
Beyond Public Access in LLM Pre-Training Data. - Zhuoang Cai, Zhenghao Li, Yang Liu, Liyuan Guo, Yangqiu Song:
Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss. - Thomas F. Burns, Letitia Parcalabescu, Stephan Wäldchen, Michael Barlow, Gregor Ziegltrum, Volker Stampa, Bastian Harren, Björn Deiseroth:
Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation. - Hyunji Lee, Franck Dernoncourt, Trung Bui, Seunghyun Yoon:
CORG: Generating Answers from Complex, Interrelated Contexts. - Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu:
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. - Mingda Zhang, Jianglong Qin:
A Method for the Architecture of a Medical Vertical Large Language Model Based on Deepseek R1. - Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan:
Theory of Mind in Large Language Models: Assessment and Enhancement. - Jian Zhou, Jiazheng Li, Sirui Zhuge, Hai Zhuge:
Extracting Abstraction Dimensions by Identifying Syntax Pattern from Texts. - Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen:
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation. - Yijie Hong, Xiaofei Yin, Xinzhong Wang, Yi Tu, Ya Guo, Sufeng Duan, Weiqiang Wang, Lingyong Fang, Depeng Wang, Huijia Zhu:
Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic Forgetting. - Ted Underwood, Laura K. Nelson, Matthew Wilkens:
Can Language Models Represent the Past without Anachronism? - Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang:
Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. - Yuyang Sha, Hongxin Pan, Wei Xu, Weiyu Meng, Gang Luo, Xinyu Du, Xiaobing Zhai, Henry H. Y. Tong, Caijuan Shi, Kefeng Li:
MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis. - Andrew Kiruluta:
From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models. - Zijie Lin, Zikang Liu, Hanbo Fan:
Improving Phishing Email Detection Performance of Small Large Language Models. - Aayam Bansal, Raghav Agarwal, Kaashvi Jain:
Linguistic Complexity and Socio-cultural Patterns in Hip-Hop Lyrics. - Zhongren Chen, Joshua Kalla, Quan Le, Shinpei Nakamura-Sakai, Jasjeet Sekhon, Ruixiao Wang:
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies. - Cristina Garbacea, Chenhao Tan:
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation. - Hudson de Martim:
Graph RAG for Legal Norms: A Hierarchical and Temporal Approach. - Ritik Raj, Shengjie Lin, William Won, Tushar Krishna:
MCMComm: Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules. - Richard Schmit:
Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors. - Peter West, Christopher Potts:
Base Models Beat Aligned Models at Randomness and Creativity. - Wenhan Dong, Yuemeng Zhao, Zhen Sun, Yule Liu, Zifan Peng, Jingyi Zheng, Zongmin Zhang, Ziyi Zhang, Jun Wu, Ruiming Wang, Shengmin Xu, Xinyi Huang, Xinlei He:
Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications. - Aayam Bansal, Agneya Tharun:
Emotional Analysis of Fashion Trends Using Social Media and AI: Sentiment Analysis on Twitter for Fashion Trend Forecasting. - Karim Daghbouche:
Computational Complexity of UAP Reverse Engineering: A Formal Analysis of Automaton Identification and Data Complexity. - Michelle Nie:
Algorithmic Addiction by Design: Big Tech's Leverage of Dark Patterns to Maintain Market Dominance and its Challenge for Content Moderation. - Zhuoqi Zeng, Yuxiang Wei, Jiawen Kang:
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration. - Tygo Bloem, Filip Ilievski:
Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity. - Zhu Jiawei, Chen Wei:
A Report on the llms evaluating the high school questions. - Paige Tuttösí, Mantaj Dhillon, Luna Sang, Shane Eastwood, Poorvi Bhatia, Quang Minh Dinh, Avni Kapoor, Yewon Jin, Angelica Lim:
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition. - Jeho Choi:
Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5. - Sahar Yarmohammadtoosky, Yiyun Zhou, Victoria Yaneva, Peter Baldwin, Saed Rezayi, Brian Clauser, Polina Harik:
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems. - Siqi Li, Yufan Shen, Xiangnan Chen, Jiayi Chen, Hengwei Ju, Haodong Duan, Song Mao, Hongbin Zhou, Bo Zhang, Bin Fu, Pinlong Cai, Licheng Wen, Botian Shi, Yong Liu, Xinyu Cai, Yu Qiao:
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling. - Ivan Vankov, Matyo Ivanov, Adriana Correia, Victor Botev:
ConSens: Assessing context grounding in open-book question answering. - Tengchao Zhang, Yonglin Tian, Fei Lin, Jun Huang, Patrik P. Süli, Rui Qin, Fei-Yue Wang:
CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios. - Ethan Dickey, Andres Bejarano, Rhianna Kuperus, Bárbara Fagundes:
Evaluating the AI-Lab Intervention: Impact on Student Perception and Use of Generative AI in Early Undergraduate Computer Science Courses. - Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag, Einat Kodesh, Alex M. Bronstein:
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. - Naamán Huerga-Pérez, Rubén Álvarez, Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Javier Díez-González:
Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques. - Carmine Cesarano, Alessio Foggia, Gianluca Roscigno, Luca Andreani, Roberto Natella:
Security-by-Design at the Telco Edge with OSS: Challenges and Lessons Learned. - Silvana Yakhni, Ali Chehab:
Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese. - Jinyan Su, Jennifer Healey, Preslav Nakov, Claire Cardie:
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs. - Yakov Berchenko-Kogan:
Extension operators and geometric decompositions. - Dalton Durant, Renato Zanetti:
Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter. - Vasudev Sharma, Ahmed Alagha, Abdelhakim Khellaf, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini:
Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design. - Michal Geyer, Omer Tov, Linyi Jin, Richard Tucker, Inbar Mosseri, Tali Dekel, Noah Snavely:
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis. - Maksim Helmann, Alexander Strack, Dirk Pflüger:
GPRat: Gaussian Process Regression with Asynchronous Tasks. - Martin Haenggi:
Q Cells in Wireless Networks. - Rudolf Berghammer, Jules Desharnais, Michael Winter:
Counting Specific Classes of Relations Regarding Fixed Points and Reflexive Points. - Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo:
When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. - Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora:
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models. - Minh-Hao Van, Xintao Wu:
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models. - Bhanuja Ainary:
Audo-Sight: Enabling Ambient Interaction For Blind And Visually Impaired Individuals. - Jannik Lübberstedt, Esteban Rivera, Nico Uhlemann, Markus Lienkamp:
V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving. - Huazhi Dong, Sihao Teng, Xu Han, Xiaopeng Wu, Francesco Giorgio-Serchi, Yunjie Yang:
Optimized Lattice-Structured Flexible EIT Sensor for Tactile Reconstruction and Classification. - Nuojin Cheng, Alireza Doostan, Stephen Becker:
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search. - Mahsa Derakhshan, Andisheh Ghasemi, Rajmohan Rajaraman:
One-way Communication Complexity of Minimum Vertex Cover in General Graphs. - Matteo El Hariry, Andrea Cini, Giacomo Mellone, Alessandro Balossino:
Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control. - Loïck Degorre, Emmanuel Delaleau, Cédric Join, Michel Fliess:
Guidance and Control of Unmanned Surface Vehicles via HEOL. - Filipp Nikitin, Ian Dunn, David Ryan Koes, Olexandr Isayev:
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation. - Saram Abbas, Naeem Soomro, Rishad Shafik, Rakesh Heer, Kabita Adhikari:
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction. - Isabelle Bloch, Enzo Bonnot, Pietro Gori, Giammarco La Barbera, Sabine Sarnacki:
First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images. - Ilan Strauss, Isobel Moure, Tim O'Reilly, Sruly Rosenblat:
Real-World Gaps in AI Governance Research. - Fatemeh Elhambakhsh, Suk Ki Lee, Hyunwoong Ko:
Generative Multimodal Multiscale Data Fusion for Digital Twins in Aerosol Jet Electronics Printing. - Joel Daniel Andersson, Amir Yehudayoff:
On the Space Complexity of Online Convolution. - Rafael C. Pinto, Anderson R. Tavares:
Neuroevolution of Self-Attention Over Proto-Objects. - Houda Belhad, Asmae Bourbia, Salma Boughanja:
Chronic Diseases Prediction using Machine Learning and Deep Learning Methods. - Hans Peter, Anders Søgaard:
Empirical Evaluation of Progressive Coding for Sparse Autoencoders. - Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina, René Vidal:
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. - Aditya Karan, Nicholas Vincent, Karrie Karahalios, Hari Sundaram:
Algorithmic Collective Action with Two Collectives. - Eloy Geenjaar, Vince D. Calhoun:
Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data. - Amey A. Salvi, Mark J. Brudnak, Jonathon M. Smereka, Matthias J. Schmid, Venkat Krovi:
Characterizing gaussian mixture of motion modes for skid-steer state estimation. - Yasin Findik, Christopher Coco, Reza Azadeh:
Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights. - Sumit Verma, Pritam Prasun, Arpit Jaiswal, Pritish Kumar:
RAIL in the Wild: Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset. - David Kühnemann, Adam Polak, Alon Rosen:
The Planted Orthogonal Vectors Problem. - Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste:
Direct Motion Models for Assessing Generated Videos. - Suk Ki Lee, Hyunwoong Ko:
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review. - Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu:
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. - Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil:
PSN Game: Game-theoretic Planning via a Player Selection Network. - Xuwei Yang, Fatemeh Tavakoli, David B. Emerson, Anastasis Kratsios:
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders. - Ankit Amrutkar, Björn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof:
Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework. - Peter Yichen Chen, Pingchuan Ma, Niklas Hagemann, John Romanishin, Wei Wang, Daniela Rus, Wojciech Matusik:
AI-Enhanced Automatic Design of Efficient Underwater Gliders. - Bogireddy Sai Prasanna Teja, Valliappan Muthukaruppan, Carls Benjamin:
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers. - Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen:
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs. - Jiuqiang Tang, Raman Sarokin, Ekaterina Ignasheva, Grant Jensen, Lin Chen, Juhyun Lee, Andrei Kulik, Matthias Grundmann:
Scaling On-Device GPU Inference for Large Generative Models. - Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian:
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks. - Leifeng Zhang, Xin Dong, Shuaibing Jia, Jianhua Zhang:
Node2Vec-DGI-EL: A Hierarchical Graph Representation Learning Model for Ingredient-Disease Association Prediction. - Ze Zhang, Georg Hess, Junjie Hu, Emmanuel Dean, Lennart Svensson, Knut Åkesson:
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction. - Yazan Otoum, Arghavan Asad, Amiya Nayak:
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems. - Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai:
D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams. - Kota Nagakane, Masahiro Nomura, Isao Ono:
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization. - Yuxuan Yan, Shiqi Jiang, Ting Cao, Yifan Yang, Qianqian Yang, Yuanchao Shu, Yuqing Yang, Lili Qiu:
Empowering Agentic Video Analytics Systems with Video Language Models. - Zhizhong Tan, Jiexin Zheng, Kevin Qi Zhang, Wenyong Wang:
Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation. - Emeric Battaglia, Anna Ma:
Quantile-RK and Double Quantile-RK Error Horizon Analysis. - Changjun Li, Runqing Jiang, Zhuo Song, Pengpeng Yu, Ye Zhang, Yulan Guo:
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction. - Jayoung Song, KyungTae Lim, Jungyeul Park:
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring. - Michael J. Ryan, Danmei Xu, Chris Nivera, Daniel Campos:
EnronQA: Towards Personalized RAG over Private Documents. - Roberto Bacani Figueroa Jr., Insung Jung:
Integrating VR tours in online language learning:A design-based research study. - Yi Yu, Patrick Filippi, Thomas F. A. Bishop:
Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach. - Jekaterina Novikova, Carol Anderson, Borhane Blili-Hamelin, Subhabrata Majumdar:
Consistency in Language Models: Current Landscape, Challenges, and Future Directions. - Thilina Pathirage Don, Aneta Neumann, Frank Neumann:
Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem. - Md Asaduzzaman Jabin, Hanqi Jiang, Yiwei Li, Patrick Kaggwa, Eugene Douglass, Juliet N. Sekandi, Tianming Liu:
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and Care. - Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang:
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing. - Kyota Kuboki, Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Shi-Jim Yen, Kokolo Ikeda:
Policies of Multiple Skill Levels for Better Strength Estimation in Games. - Tianshi Xu, Zechen Zhang, Jie Chen, Yousef Saad, Yuanzhe Xi:
Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems. - Zhijie Qiao, Haowei Li, Zhong Cao, Henry X. Liu:
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving. - Masanori Takano, Kenji Yokotani, Takahiro Kato, Nobuhito Abe, Fumiaki Taka:
Avatar Communication Provides More Efficient Online Social Support Than Text Communication. - Junjie Wang, Yuhan Ma, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang:
PatchFuzz: Patch Fuzzing for JavaScript Engines. - Hong Xin Xie, Jiande Sun, Fan Fu Xue, Zi Fei Han, Shan Shan Feng, Qi Chen:
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction. - Eran Rosenbluth, Martin Grohe:
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit. - Masanori Takano, Mao Nishiguchi, Fujio Toriumi:
Reducing Sexual Predation and Victimization Through Warnings and Awareness among High-Risk Users. - Xinlong Zhao, Shan Du:
Fine-grained spatial-temporal perception for gas leak segmentation. - Palash Dey, Anubhav Dhar, Ashlesha Hota, Sudeshna Kolay:
The Complexity of Minimum-Envy House Allocation Over Graphs. - Yang Wang, Tengda Tang, Zhou Fang, Yingnan Deng, Yifei Duan:
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning. - Xinlong Zhao, Liying Zhang, Tianbo Zou, Yan Zhang:
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting. - Shivani Guptasarma, Matthew Strong, HongHao Zhen, Monroe Kennedy III:
J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators. - Yu-Hsiang Lan, Eric K. Oermann:
Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations. - Biling Wang, Austen Maniscalco, Ti Bai, Siqiu Wang, Michael Dohopolski, Mu-Han Lin, Chenyang Shen, Dan Nguyen, Junzhou Huang, Steve B. Jiang, Xinlei Wang:
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. - Muhammad Salman, Iqra Tariq, Mishal Zulfiqar, Muqadas Jalal, Sami Aujla, Sumbal Fatima:
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection. - Piotr Piekos, Róbert Csordás, Jürgen Schmidhuber:
Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing. - Tien Comlekoglu, Javier Quetzalcóatl Toledo-Marín, Tina Comlekoglu, Douglas W. DeSimone, Shayn M. Peirce, Geoffrey C. Fox, James A. Glazier:
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture. - Babak Hassibi, Joudi Hajar, Reza Ghane:
Beyond Quadratic Costs in LQR: Bregman Divergence Control. - Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu:
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. - Joudi Hajar, Reza Ghane, Babak Hassibi:
Beyond Quadratic Costs: A Bregman Divergence Approach to H∞ Control. - Zixin Wang, Yuanming Shi, Yong Zhou, Jingyang Zhu, Khaled Ben Letaief:
Edge Large AI Models: Revolutionizing 6G Networks. - Keshu Wu, Zihao Li, Sixu Li, Xinyue Ye, Dominique Lord, Yang Zhou:
AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics. - Yanxin Fu, Wenxiao Zhao:
Recursive Algorithms for Sparse Parameter Identification of Multivariate Stochastic Systems with Non-stationary Observations. - Rukma Talwadker, Surajit Chakrabarty, Aditya Pareek, Tridib Mukherjee, Deepak Saini:
CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform. - Apratim Dey, David L. Donoho:
Optimal Vector Compressed Sensing Using James Stein Shrinkage. - Xinyi Chen, Yichen Zhang, Hetai Zou, Junzhe Wang, Shaojie Shen:
Active Contact Engagement for Aerial Navigation in Unknown Environments with Glass. - Bumjun Kim, Wan Choi:
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models. - Luigi Sigillo, Christian Bianchi, Aurelio Uncini, Danilo Comminiello:
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution. - Seungjun Shin, Suji Kim, Dokwan Oh:
Efficient Neural Video Representation with Temporally Coherent Modulation. - Xuyang Guo, Jiayan Huo, Zhenmei Shi, Zhao Song, Jiahao Zhang, Jiale Zhao:
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation. - Yuval Gil, Merav Parter:
New Distributed Interactive Proofs for Planarity: A Matter of Left and Right. - Antoun Yaacoub, Sansiri Tarnpradab, Phattara Khumprom, Zainab Assaghir, Lionel Prevost, Jérôme Da Rugna:
Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation. - Marco De Vincenzi, Shuyang Sun, Chen Bo Calvin Zhang, Manuel Garcia, Shaozu Ding, Chiara Bodei, Ilaria Matteucci, Sanjay E. Sarma, Dajiang Suo:
Vehicular Communication Security: Multi-Channel and Multi-Factor Authentication. - Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. - Cong Xu, Wenbin Liang, Mo Yu, Anan Liu, Ke-Yue Zhang, Lizhuang Ma, Jianyong Wang, Jun Wang, Wei Zhang:
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics. - Ehtisham Asghar, Martin Hill, Ibrahim Sengor, Conor Lynch, Phan Quang An:
Validation of a 24-hour-ahead Prediction model for a Residential Electrical Load under diverse climate. - Mohammad Zbeeb, Mariam Salman, Mohammad Bazzi, Ammar Mohanna:
Optimizing Deep Neural Networks using Safety-Guided Self Compression. - Xinliang Liu, Tong Mao, Jinchao Xu:
Integral Representations of Sobolev Spaces via ReLUk Activation Function and Optimal Error Estimates for Linearized Networks. - Lei Lv, Lei Liu, Lei Bao, Fuchun Sun, Jiahong Dong, Jianwei Zhang, Xuemei Shan, Kai Sun, Hao Huang, Yu Luo:
Multi-segment Soft Robot Control via Deep Koopman-based Model Predictive Control. - Albert Ge, Tzu-Heng Huang, John Cooper, Avi Trost, Ziyi Chu, Satya Sai Srinath Namburi GNVV, Ziyang Cai, Kendall Park, Nicholas Carl Roberts, Frederic Sala:
R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training. - Qifen Zeng, Haomin Bao, Yuanzhuo Hu, Zirui Zhang, Yuheng Zheng, Luosheng Wen:
TNStream: Applying Tightest Neighbors to Micro-Clusters to Define Multi-Density Clusters in Streaming Data. - Jie Yang, Yuwen Wang, Kai-Xuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu:
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. - Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim:
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices. - JunSeo Kim, HyeHyeon Kim:
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis. - Ahmed R. Sadik, Muhammad Ashfaq, Niko Mäkitalo, Tommi Mikkonen:
Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach. - Myrthe A. D. Buser, D. C. Simons, M. Fitski, Marc H. W. A. Wijnen, A. S. Littooij, A. H. ter Brugge, Iris N. Vos, Markus H. A. Janse, M. den Boer, R. ter Maat, Junya Sato, S. Kido, Satoshi Kondo, Satoshi Kasai, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, M. R. Rokkus, G. Haokai, S. Zitong, M. Fernández-Patón, Diana Veiga Canuto, D. G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo J. Kuijf, A. De Luca, Alida F. W. van der Steeg:
Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. - Shi Jin, Nana Liu, Chuwen Ma, Yue Yu:
On the Schrödingerization method for linear non-unitary dynamics with optimal dependence on matrix queries. - Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services. - Feng Xue, Wenzhuang Xu, Guofeng Zhong, Anlong Ming, Nicu Sebe:
Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation. - Anjith George, Sébastien Marcel:
The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks. - Jianya Lu, Yingjun Mo:
Approximation to Deep Q-Network by Stochastic Delay Differential Equations. - Giuseppe Orlando, Tommaso Benacchio, Luca Bonaventura:
Improving the scalability of a high-order atmospheric dynamics solver based on the deal.II library. - Bowen Zhang, Zixin Song, Chunping Li:
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass. - Qi Wen, Yutong Ye, Xiang Lian, Mingsong Chen:
S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report). - Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tie-Jun Huang:
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos. - Jianyuan Chen, Lin Zhang, Zuwei Chen, Yawen Chen, Hongcheng Zhuang:
GAN-based Generator of Adversarial Attack on Intelligent End-to-End Autoencoder-based Communication System. - Bassel Hamoud, Ilnura Usmanova, Kfir Y. Levy:
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints. - Matthias Mayer, Matthias Althoff:
Holistic Optimization of Modular Robots. - Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. - Wei-Bin Kou, Guangxu Zhu, Yichen Jin, Shuai Wang, Ming Tang, Yik-Chung Wu:
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models. - Thomas Falconer, Anubhav Ratha, Jalal Kazempour, Pierre Pinson, Maryam Kamgarpour:
Selling Information in Games with Externalities. - Farhana Elias, Md Shihab Reza, Muhammad Zawad Mahmud, Samiha Islam, Shahran Rahman Alve:
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis. - Yang Liu:
Affine matrix scrambling achieves smoothness-dependent convergence rates. - Tian Lan, Yifei Gao, Yimeng Lu, Chen Zhang:
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series. - Jing Huang, Zhixiong Zeng, Wenkang Han, Yufeng Zhong, Liming Zheng, Shuai Fu, Jingyuan Chen, Lin Ma:
ScaleTrack: Scaling and back-tracking Automated GUI Agents. - Xia Yuan, Hai Yuan, Wenyi Ge, Ying Fu, Xi Wu, Guanyu Xing:
Real-Time Animatable 2DGS-Avatars with Detail Enhancement from Monocular Videos. - Yu Han, Aaron Ceross, Jeroen H. M. Bergmann:
Toward Automated Regulatory Decision-Making: Trustworthy Medical Device Risk Classification with Multimodal Transformers and Self-Training. - Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yu Zhang, Yuchi Huo, Chao Wu:
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. - Sindre M. Hegre, Welf Rehberg, Mihir Kulkarni, Kostas Alexis:
A Neural Network Mode for PX4 on Embedded Flight Controllers. - Tuowei Chen, Kun Xu:
Stability of the first-order unified gas-kinetic scheme based on a linear kinetic model. - Timo P. Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann:
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior. - Ronald Cools, Dirk Nuyens, Laurence Wilkes:
Error bounds for function approximation using generated sets. - Kevin Quinn, Cormac Molloy, Harun Siljak:
Decentralised, Self-Organising Drone Swarms using Coupled Oscillators. - Chenhao Xu, Longxiang Gao, Yuan Miao, Xi Zheng:
Distributed Retrieval-Augmented Generation. - Govind Rajendran, Samar Agnihotri:
Deterministic Scheduling over Wi-Fi 6 using Target Wake Time: An Experimental Approach. - Fabian Woller, Lis Arend, Christian Fuchsberger, Markus List, David B. Blumenthal:
NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data. - Bart Jacobs, Justus Fasse:
An approach for modularly verifying the core of Rust's atomic reference counting algorithm against the (X)C20 memory consistency model. - Gregory Schröder, Mohamed Sabry, Cristina Olaverri-Monreal:
ClearLines - Camera Calibration from Straight Lines. - Sungbok Shin, Hyeon Jeon, Sanghyun Hong, Niklas Elmqvist:
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models. - Onur Mutlu, Ataberk Olgun, Ismail Emir Yuksel:
Memory-Centric Computing: Solving Computing's Memory Problem. - Harshit Kapadia, Peter Benner, Lihong Feng:
Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems. - Yan Lin Aung, Yee Loon Khoo, Davis Yang Zheng, Bryan Swee Duo, Sudipta Chattopadhyay, Jianying Zhou, Liming Lu, Weihan Goh:
HoneyWin: High-Interaction Windows Honeypot in Enterprise Environment. - Thomas Flinkow, Marco Casadio, Colin Kessler, Rosemary Monahan, Ekaterina Komendantskaya:
A Generalised Framework for Property-Driven Machine Learning. - Vahid Balazadeh Meresht, Michael Cooper, David Pellow, Atousa Assadi, Jennifer Bell, Jim Fackler, Gabriel Funingana, Spencer Gable-Cook, Anirudh Gangadhar, Abhishek Jaiswal, Sumanth Kaja, Christopher Khoury, Randy Lin, Kaden McKeen, Sara Naimimohasses, Khashayar Namdar, Aviraj Newatia, Allan Pang, Anshul Pattoo, Sameer Peesapati, Diana Prepelita, Bogdana Rakova, Saba Sadatamin, Rafael Schulman, Ajay Shah, Syed Azhar Shah, Syed Ahmar Shah, Babak Taati, Balagopal Unnikrishnan, Stephanie Williams, Rahul G. Krishnan:
Red Teaming Large Language Models for Healthcare. - Youngkyu Kim, Byounghyun Yoo, Ji Young Yun, Hyeokmin Lee, Sehyeon Park, Jin Woo Moon, Eun Ji Choi:
Evaluation of Thermal Control Based on Spatial Thermal Comfort with Reconstructed Environmental Data. - Alaa Saleh, Sasu Tarkoma, Praveen Kumar Donta, Naser Hossein Motlagh, Schahram Dustdar, Susanna Pirttikangas, Lauri Lovén:
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces. - Shuwen Sun, Lihong Feng, Peter Benner:
Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs. - Cecilia Di Florio, Huimin Dong, Antonino Rotolo:
Rule-based Classifier Models. - Gijs Jan Brandsma, Jens Blom-Hansen, Christiaan Meijer, Kody Moodley:
Computational Identification of Regulatory Statements in EU Legislation. - Novruz Amirov, Kemal Bicakci:
Decentralized Vulnerability Disclosure via Permissioned Blockchain: A Secure, Transparent Alternative to Centralized CVE Management. - Joowon Lee, Donggil Lee, Junsoo Kim:
Stabilization by Controllers Having Integer Coefficients. - Byung-Ki Kwon, Qi Dai, Hyoseok Lee, Chong Luo, Tae-Hyun Oh:
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers. - Leonid Legashev, Arthur Zhigalov, Denis Parfenov:
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks. - Vamshi Kumar Kurva, Shishir Kolathaya:
MULE: Multi-terrain and Unknown Load Adaptation for Effective Quadrupedal Locomotion. - Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Dimitri Konidaris:
Optimal Interactive Learning on the Job via Facility Location Planning. - Nguyen Van Thanh, Nguyen Dang Huynh, Nguyen Ngoc Tan, Nguyen Thai Minh, Nguyen Nam Hoang:
Enhancing Tropical Cyclone Path Forecasting with an Improved Transformer Network. - Joshua A. Schwartz, Michael C. Horowitz:
Out of the Loop Again: How Dangerous is Weaponizing Automated Nuclear Systems? - Antoni Bigata Casademunt, Rodrigo Mira, Stella Bounareli, Michal Stypulkowski, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution. - Minseok Song, JeongHo Ha, Bonggyeong Park, Daehyung Park:
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations. - Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, Joonseok Lee:
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing. - Ke Jiang, Wen Jiang, Masahiro Fujisawa, Xiaoyang Tan:
Variational OOD State Correction for Offline Reinforcement Learning. - Deanna Emery, Michael Goitia, Freddie Vargus, Iulia Neagu:
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection. - Esteban Rivera, Surya Prabhakaran, Markus Lienkamp:
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection. - Mikhail Kuvakin, Zijian Mei, Jingrun Chen:
Weak Random Feature Method for Solving Partial Differential Equations. - Jeremias Ferrao, Luhan Mikaelson, Keenan Pepper, Natalia Pérez-Campanero Antolín:
Self-Ablating Transformers: More Interpretability, Less Sparsity. - Esteban Rivera, Loic Stratil, Markus Lienkamp:
Inconsistency-based Active Learning for LiDAR Object Detection. - Nguyen Hoang Khoi Tran, Julie Stephany Berrio, Mao Shan, Zhenxing Ming, Stewart Worrall:
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method. - Mingxing Peng, Ruoyu Yao, Xusen Guo, Yuting Xie, Xianda Chen, Jun Ma:
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model. - Rahul K. Gupta:
Linear Phase Balancing Scheme using Voltage Unbalance Sensitivities in Multi-phase Power Distribution Grids. - Tuva Bardal, Markus Brill, David McCune, Jannik Peters:
Proportionality in Practice: Quantifying Proportionality in Ordinal Elections. - Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao:
DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. - Xin Wang, Jinbo Bi, Minghu Song:
Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks. - Linjing You, Jiabao Lu, Xiayuan Huang:
Test-time Correlation Alignment. - Muhammad Imran Zaman, Usama Ijaz Bajwa, Gulshan Saleem, Rana Hammad Raza:
A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic. - Ian O'Flynn, Harun Siljak:
Emergence of Roles in Robotic Teams with Model Sharing and Limited Communication. - Amarpal Sahota, Navid Mohammadi Foumani, Raúl Santos-Rodríguez, Zahraa S. Abdallah:
KnowEEG: Explainable Knowledge Driven EEG Classification. - Garrett Olges, Kelly Cohen:
Reducing Student Distraction Through Fuzzy Logic Based Seating Arrangements. - Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang:
Directly Forecasting Belief for Reinforcement Learning with Delays. - Nikitha Medeshetty, Ahmad Nauman Ghazi, Sadi Alawadi, Fahed Alkhabbas:
From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation. - Riccardo Tenderini, Simone Deparis:
Model order reduction of hemodynamics by space-time reduced basis and reduced fluid-structure interaction. - Ming Zeng, Ji Wang, Xingwang Li, Gongpu Wang, Octavia A. Dobre, Zhiguo Ding:
Sum Rate Maximization for NOMA-Assisted Uplink Pinching-Antenna Systems. - Tiange Zhou, Marco Bidin:
Bridging Cultural and Digital Divides: A Low-Latency JackTrip Framework for Equitable Music Education in the Global South. - Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing:
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. - Chanwoo Kim, Jinkyu Sung, Yebonn Han, Joonseok Lee:
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation. - Malcom Mohamed:
Notes on Univariate Sumcheck. - Makoto Sato:
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models. - Jun Diao, Jingjing Wang, Lin Zhou:
Exponentially Consistent Low Complexity Tests for Outlier Hypothesis Testing with Distribution Uncertainty. - Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. - Yue Meng, Chuchu Fan:
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching. - Jorgen Cani, Christos D. Nikolopoulos, Spyridon C. Evangelatos, Panagiotis I. Radoglou-Grammatikis, Vasileios Argyriou, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos:
X-ray illicit object detection using hybrid CNN-transformer neural network architectures. - Han Wu, Hamdi Joudeh:
Error Exponents for Oblivious Relaying and Connections to Source Coding with a Helper. - Lucas Robinet, Ahmad Berjaoui, Elizabeth Moyal Cohen-Jonathan:
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities. - Enmin Zhong, Carlos R. del-Blanco, Daniel Berjón, Fernando Jaureguizar, Narciso García:
AnimalMotionCLIP: Embedding motion in CLIP for Animal Behavior Analysis. - Jushi Kai, Boyi Zeng, Yixuan Wang, Haoli Bai, Ziwei He, Bo Jiang, Zhouhan Lin:
FreqKV: Frequency Domain Key-Value Compression for Efficient Context Window Extension. - Hussam Azzuni, Abdulmotaleb El-Saddik:
Voice Cloning: Comprehensive Survey. - Xinyu Ding, Lexuan Chen, Siyu Liao, Zhongfeng Wang:
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors. - Xinyu Ding, Meiqi Wang, Siyu Liao, Zhongfeng Wang:
Block Circulant Adapter for Large Language Models. - Mathis Morales, Golnaz Habibi:
Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets. - Xueyuan Cui, Yi Wang, Bolun Xu:
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads. - Jiarong Wei, Niclas Vödisch, Anna Rehr, Christian Feist, Abhinav Valada:
ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models. - Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jianxin Liao:
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting. - Ziqi Li:
Explainable AI in Spatial Analysis. - Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu:
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading. - Muhammad Shahbaz Khan, Ahmed Yassin Al-Dubai, Jawad Ahmad, Nikolaos Pitropakis, Baraq Ghaleb:
A Novel Feature-Aware Chaotic Image Encryption Scheme For Data Security and Privacy in IoT and Edge Networks. - Alex Schutz, Yang You, Matias Mattamala, Ipek Caliskanelli, Bruno Lacerda, Nick Hawes:
A Finite-State Controller Based Offline Solver for Deterministic POMDPs. - Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu:
Fast and Low-Cost Genomic Foundation Models via Outlier Removal. - Alexander Puzicha, Konstantin Wüstefeld, Kathrin Wilms, Frank Weichert:
Visual Trajectory Prediction of Vessels for Inland Navigation. - Phanish Puranam, Prothit Sen, Maciej Workiewicz:
Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4. - Sotiris Chatzimiltis, Mohammad Shojafar, Mahdi Boloursaz Mashhadi, Rahim Tafazolli:
Surviving the Storm: The Impacts of Open RAN Disaggregation on Latency and Resilience. - Wallace Lee, YuHao Chen:
Dietary Intake Estimation via Continuous 3D Reconstruction of Food. - Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma:
Combining LLMs with Logic-Based Framework to Explain MCTS. - D. Sculley, Will Cukierski, Phil Culliton, Sohier Dane, Maggie Demkin, Ryan Holbrook, Addison Howard, Paul Mooney, Walter Reade, Megan Risdal, Nate Keating:
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation. - Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction. - Aidan Kierans, Kaley Rittichier, Utku Sonsayar, Avijit Ghosh:
Catastrophic Liability: Managing Systemic Risks in Frontier AI Development. - Gurjot Singh, Alim Dhanani, Diogo Barradas:
RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks. - Neng Dong, Shuanglin Yan, Liyan Zhang, Jinhui Tang:
Diverse Semantics-Guided Feature Alignment and Decoupling for Visible-Infrared Person Re-Identification. - Erdenebayar Bayarmagnai, Fatemeh Mohammadi, Rémi Prébet:
Beyond Affine Loops: A Geometric Approach to Program Synthesis. - Colin Kessler, Ekaterina Komendantskaya, Marco Casadio, Ignazio Maria Viola, Thomas Flinkow, Albaraa Ammar Othman, Alistair Malhotra, Robbie McPherson:
Neural Network Verification for Gliding Drone Control: A Case Study. - Chaitali Bhattacharyya, Yeseong Kim:
FineScope : Precision Pruning for Domain-Specialized Large Language Models Using SAE-Guided Self-Data Cultivation. - Zihao Wang, Yibo Jiang, Jiahao Yu, Heqing Huang:
The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them). - Zhongying Deng, Haoyu Wang, Ziyan Huang, Lipei Zhang, Angelica I. Avilés-Rivero, Chaoyu Liu, Junjun He, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. - Muyi Bao, Shuchang Lyu, Zhaoyang Xu, Huiyu Zhou, Jinchang Ren, Shiming Xiang, Xiangtai Li, Guangliang Cheng:
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook. - Evgeniy Martyushev:
Forward kinematics of a general Stewart-Gough platform by elimination templates. - Sirui Chen, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani-Zarrin:
GeoDEx: A Unified Geometric Framework for Tactile Dexterous and Extrinsic Manipulation under Force Uncertainty. - Yi Yu, Marcus Sarkis, Guanglian Li, Zhiwen Zhang:
Adaptive Nonoverlapping Preconditioners for the Helmholtz Equation. - Marco Braga, Pranav Kasela, Alessandro Raganato, Gabriella Pasi:
Investigating Task Arithmetic for Zero-Shot Information Retrieval. - Atahan Karagoz:
OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification. - Yazan Otoum, Arghavan Asad, Ishtiaq Ahmad:
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management. - Daniel N. Nissani:
Large Language Models Understanding: an Inherent Ambiguity Barrier. - Mohammed Saif, Shahrokh Valaee:
RIS Partitioning and User Clustering for Resilient Non-Orthogonal Multiple Access UAV Networks. - Tzu-Hao Huang, Chao-Kai Wen, Shang-Ho Tsai, Trung Q. Duong:
AI-based CSI Feedback with Digital Twins: Real-World Validation and Insights. - Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan, Cody Wild, Diane Wan, Alex Ku, Jörg Bornschein, Razvan Pascanu, Murray Shanahan, James L. McClelland:
On the generalization of language models from in-context learning and finetuning: a controlled study. - Wenkai Yang, Jingwen Chen, Yankai Lin, Ji-Rong Wen:
DeepCritic: Deliberate Critique with Large Language Models. - David Pfau, Ian Davies, Diana Borsa, Joao G. M. Araujo, Brendan D. Tracey, Hado van Hasselt:
Wasserstein Policy Optimization. - Hagit Attiya, Antonio Fernández Anta, Alessia Milani, Alexandre Rapetti, Corentin Travers:
Auditing without Leaks Despite Curiosity. - Kirtan Rajesh, Suvidha Rupesh Kumar:
Deep Reinforcement Learning for Urban Air Quality Management: Multi-Objective Optimization of Pollution Mitigation Booth Placement in Metropolitan Environments. - Chenggang Wang, Xinyi Wang, Yutong Dong, Lei Song, Xinping Guan:
Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions. - Yiming Du, Wenyu Huang, Danna Zheng, Zhaowei Wang, Sébastien Montella, Mirella Lapata, Kam-Fai Wong, Jeff Z. Pan:
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions. - Felix Biertümpfel, Emily Burgin, Hanna-Lee Harjono, Paulo Lozano, Harald Pfifer:
Linear Parameter Varying Attitude Control For CubeSats Using Electrospray Thrusters. - Xinchen Yang, Marine Carpuat:
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer. - Arsha Nagrani, Sachit Menon, Ahmet Iscen, Shyamal Buch, Ramin Mehran, Nilpa Jha, Anja Hauth, Yukun Zhu, Carl Vondrick, Mikhail Sirotenko, Cordelia Schmid, Tobias Weyand:
MINERVA: Evaluating Complex Video Reasoning. - Tiange Luo, Lajanugen Logeswaran, Justin Johnson, Honglak Lee:
Visual Test-time Scaling for GUI Agent Grounding. - Daniel Eftekhari, Vardan Papyan:
On the Importance of Gaussianizing Representations. - Amine Ben Hassouna:
The Architecture Tradeoff and Risk Analysis Framework (ATRAF): A Unified Approach for Evaluating Software Architectures, Reference Architectures, and Architectural Frameworks. - Wayne Wu, Honglin He, Chaoyuan Zhang, Jack He, Seth Z. Zhao, Ran Gong, Quanyi Li, Bolei Zhou:
Towards Autonomous Micromobility through Scalable Urban Simulation. - Yanbang Li, Ziyang Gong, Haoyang Li, Xiaoqi Huang, Haolan Kang, Guangping Bai, Xianzheng Ma:
Robotic Visual Instruction. - Hanwen Jiang, Hao Tan, Peng Wang, Haian Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing Huang, Georgios Pavlakos:
RayZer: A Self-supervised Large View Synthesis Model. - Dongzhi Jiang, Ziyu Guo, Renrui Zhang, Zhuofan Zong, Hao Li, Le Zhuo, Shilin Yan, Pheng-Ann Heng, Hongsheng Li:
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT. - Chih-Hao Lin, Zian Wang, Ruofan Liang, Yuxuan Zhang, Sanja Fidler, Shenlong Wang, Zan Gojcic:
Controllable Weather Synthesis and Removal with Video Diffusion Models. - Ahmad Deeb, Denys Dutykh:
Numerical Integration of Navier-Stokes Equations by Time Series Expansion and Stabilized FEM. - Jorge Caravantes, Gema M. Diaz-Toca, Mario Fioravanti, Laureano González-Vega:
Relative position of a parabola or a hyperbola and an ellipse without computing intersection points. - Eric Ngondiep, Areej A. Binsultan, Ibtisam M. Aldawish:
A high-order combined interpolation/finite element technique for evolutionary coupled groundwater-surface water problem. - Johan Marguet, Raluca Eftimie, Alexei Lozinski:
Numerical Approaches for non-local Transport-Dominated PDE Models with Applications to Biology. - Julien R. Besset, Hélène Barucq, Rabia Djellouli, Stefano Frambati:
MOR-T L : A Novel Model Order Reduction Method for Parametrized Problems with Application to Seismic Wave Propagation. - Calista Biondic, Siva Nadarajah:
A Goal-Oriented Adaptive Sampling Procedure for Projection-Based Reduced-Order Models with Hyperreduction. - Vibudha Lakshmi Keshava, Martin Schanz:
Partial integration based regularization in BEM for 3D elastostatic problems: The role of line integrals. - Martin Schanz, Vibudha Lakshmi Keshava, Herbert De Gersem:
Comparison of FMM and ℋ-matrix based 3D-ACA for a time domain boundary element method. - Bithiah Yuan:
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models. - Dani Dorfman, Haim Kaplan, Robert E. Tarjan, Mikkel Thorup, Uri Zwick:
Faster All-Pairs Optimal Electric Car Routing. - Marius-Constantin Dinu:
Primality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory. - Gustavo Rezende Silva, Juliane Päßler, Silvia Lizeth Tapia Tarifa, Einar Broch Johnsen, Carlos Hernández Corbato:
ROSA: A Knowledge-based Solution for Robot Self-Adaptation. - Neil Joshi, Joshua Carney, Nathanael Kuo, Homer Li, Cheng Peng, Myron Brown:
Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes. - Qiushi Yang, Yuan Yao, Miaomiao Cui, Liefeng Bo:
MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection. - Zhengbin Zhang, Yan Wu, Hongkun Zhang:
Fast2comm:Collaborative perception combined with prior knowledge. - Srinivas Kanakala, Sneha Ningappa:
Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN Models. - Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu:
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. - Yinfeng Yu, Dongsheng Yang:
DOPE: Dual Object Perception-Enhancement Network for Vision-and-Language Navigation. - Dung Nguyen, Minh Khoi Ho, Huy D. Ta, Thanh Tam Nguyen, Qi Chen, Kumar Rav, Quy Duong Dang, Satwik Ramchandre, Son Lam Phung, Zhibin Liao, Minh-Son To, Johan Verjans, Phi Le Nguyen, Vu Minh Hieu Phan:
Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs. - Maozhe Zhao, Shengzhong Liu, Fan Wu, Guihai Chen:
Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations. - Alexei Kaltchenko:
Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis. - Zhiying Song, Tenghui Xie, Fuxi Wen, Jun Li:
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey. - Roman J. Georgio, Caelum Forder, Suman Deb, Peter Carroll, Önder Gürcan:
The Coral Protocol: Open Infrastructure Connecting The Internet of Agents. - Hyunjin Cho, Farhad Tabasi, Jeremy D. Greenlee, Rahul Singh:
GVPT - A software for guided visual pitch tracking. - Xingxi Yin, Jingfeng Zhang, Zhi Li, Yicheng Li, Yin Zhang:
InstructAttribute: Fine-grained Object Attributes editing with Instruction. - Xuzhao Li, Xuchen Li, Shiyu Hu:
DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking. - Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu:
A Survey on Large Language Model based Human-Agent Systems. - Atsuya Watanabe, Ratna Aisuwarya, Lei Jing:
P2P-Insole: Human Pose Estimation Using Foot Pressure Distribution and Motion Sensors. - Woong-Chan Byun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong:
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L. - Jiahui Chen, Candace Ross, Reyhane Askari Hemmat, Koustuv Sinha, Melissa Hall, Michal Drozdzal, Adriana Romero-Soriano:
Multi-Modal Language Models as Text-to-Image Model Evaluators. - Branko Brkljac, Milan Brkljac:
Person detection and re-identification in open-world settings of retail stores and public spaces. - L. G. Divyanth, Syed Usama Bin Sabir, Divya Rathore, Lav R. Khot, Chakradhar Mattupalli, Manoj Karkee:
Design, Integration, and Evaluation of a Dual-Arm Robotic System for High Throughput Tissue Sampling from Potato Tubers. - Alessandro Raganato, Rafael Peñaloza, Marco Viviani, Gabriella Pasi:
Reasoning Capabilities and Invariability of Large Language Models. - Junwon Seo, Kensuke Nakamura, Andrea Bajcsy:
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures. - Nathaniel Sauerberg, Caspar Oesterheld:
Promises Made, Promises Kept: Safe Pareto Improvements via Ex Post Verifiable Commitments. - Chen Yu, David Matthews, Jingxian Wang, Jing Gu, Douglas Blackiston, Michael Rubenstein, Sam Kriegman:
Reconfigurable legged metamachines that run on autonomous modular legs. - Oluwanisola Ibikunle, Hara Talasila, Debvrat Varshney, Jilu Li, John Paden, Maryam Rahnemoonfar:
AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring. - Lucas N. Alegre, Ana L. C. Bazzan, André Barreto, Bruno C. da Silva:
Constructing an Optimal Behavior Basis for the Option Keyboard. - Wufei Ma, Luoxin Ye, Nessa McWeeney, Celso M. de Melo, Jieneng Chen, Alan L. Yuille:
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. - Tam Minh Nguyen, Ngoc N. Tran, Khai Nguyen, Richard G. Baraniuk:
Improving Routing in Sparse Mixture of Experts with Graph of Tokens. - Iurii Kemaev, Dan A. Calian, Luisa M. Zintgraf, Gregory Farquhar, Hado van Hasselt:
Scalable Meta-Learning via Mixed-Mode Differentiation. - Dibyangshu Mukherjee, Shivaram Kalyanakrishnan:
Howard's Policy Iteration is Subexponential for Deterministic Markov Decision Problems with Rewards of Fixed Bit-size and Arbitrary Discount Factor. - Rémi Abgrall, Alina Chertock, Alexander Kurganov, Lorenzo Micalizzi:
A New Semi-Discrete Finite-Volume Active Flux Method for Hyperbolic Conservation Laws. - Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura, Emmanouil Panagiotou, Eirini Ntoutsi:
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration. - Jonathan Heins, Darrell Whitley, Pascal Kerschke:
To Repair or Not to Repair? Investigating the Importance of AB-Cycles for the State-of-the-Art TSP Heuristic EAX. - Mingyu Kim, Daniel J. Stilwell, Harun Yetkin, Jorge G. Jimenez:
Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors. - Fadi Abdeladhim Zidi, Abdelkrim Ouafi, Fares Bougourzi, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging. - Aleksei Tiurin, Dan R. Ghica, Nick Hu:
E-Graphs With Bindings. - Kola Ayonrinde, Louis Jaburi:
A Mathematical Philosophy of Explanations in Mechanistic Interpretability - The Strange Science Part I.i. - Alina Chertock, Alexander Kurganov, Lorenzo Micalizzi:
New Smoothness Indicator Within an Active Flux Framework. - Jordi de La Torre:
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval. - Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Ye Yuan, Guoren Wang, Lei Cao:
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization. - Mario Sänger, Ulf Leser:
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction. - Santiago del Rey, Paulo Sérgio Medeiros dos Santos, Guilherme Horta Travassos, Xavier Franch, Silverio Martínez-Fernández:
Aggregating empirical evidence from data strategy studies: a case on model quantization. - Andrew J. Adiletta, Berk Sunar:
Spill The Beans: Exploiting CPU Cache Side-Channels to Leak Tokens from Large Language Models. - Heng-Sheng Chang, Prashant G. Mehta:
Dual Filter: A Mathematical Framework for Inference using Transformer-like Architectures. - Zhaoxing Li, Wenbo Wu, Yue Wang, Yanran Xu, William Hunt, Sebastian Stein:
HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models. - Jeffrey Basoah, Jay L. Cunningham, Erica Adams, Alisha Bose, Aditi Jain, Kaustubh Yadav, Zhengyang Yang, Katharina Reinecke, Daniela Rosner:
Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users. - Qianxi Fu, Youngjoon Suh, Xiaojing Zhang, Yoonjin Won:
Data-Driven Optical To Thermal Inference in Pool Boiling Using Generative Adversarial Networks. - Mingyu Kim, Daniel J. Stilwell, Harun Yetkin, Jorge G. Jimenez:
Near-optimal Sensor Placement for Detecting Stochastic Target Trajectories in Barrier Coverage Systems. - Jing Wang, Xing Niu, Juyong Kim, Jie Shen, Tong Zhang, Jeremy C. Weiss:
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction. - Joe Germino, Nuno Moniz, Nitesh V. Chawla:
Intersectional Divergence: Measuring Fairness in Regression. - Quang P. M. Pham, Khoi T. N. Nguyen, Nhi H. Doan, Cuong A. Pham, Kentaro Inui, Dezhen Song:
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation. - Conor Flynn, Christopher Ebersole, Edmund Zelnio:
The Comparability of Model Fusion to Measured Data in Confuser Rejection. - Julen Ercibengoa, Meritxell Gómez-Omella, Izaro Goienetxea:
IberFire - a detailed creation of a spatio-temporal dataset for wildfire risk assessment in Spain. - Pranshul Thakur, Siva Nadarajah:
A stabilized march approach to adjoint-based sensitivity analysis of chaotic flows. - Ahmad Suleman, Yazeed Alkhrijah, Misha Urooj Khan, Hareem Khan, Muhammad Abdullah Husnain Ali Faiz, Mohamad A. Alawad, Zeeshan Kaleem, Guan Gui:
SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation. - Tao Li, Ya-Ting Yang, Yunian Pan, Quanyan Zhu:
From Texts to Shields: Convergence of Large Language Models and Cybersecurity. - Mahboubeh Zarei, Robin Chhabra:
Fault-Tolerant Multi-Modal Localization of Multi-Robots on Matrix Lie Groups. - Jinsheng Pan, Xiaogeng Liu, Chaowei Xiao:
OET: Optimization-based prompt injection Evaluation Toolkit. - Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Ananthram Swami, Santiago Segarra:
SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge. - Christiana Chamon:
TherMod Communication: Low Power or Hot Air? - Xinlin Li, Osama A. Hanna, Christina Fragouli, Suhas N. Diggavi:
ICQuant: Index Coding enables Low-bit LLM Quantization. - Junfeng Jiao, Saleh Afroogh, Abhejay Murali, Kevin Chen, David Atkinson, Amit Dhurandhar:
LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models. - Sungbok Shin, Sunghyo Chung, Hyeon Jeon, Hyunwook Lee, Minje Choi, Taehun Kim, Jaehoon Choi, Sungahn Ko, Jaegul Choo:
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data. - Sarah A. Flanery, Anson Trapani, Christiana Chamon, Leyla Nazhandali:
Duality on the Thermodynamics of the Kirchhoff-Law-Johnson-Noise (KLJN) Secure Key Exchange Scheme. - Viktor Kocur, Charalambos Tzamos, Yaqing Ding, Zuzana Berger Haladová, Torsten Sattler, Zuzana Kukelova:
Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation? - Stepan Gorelenkov, Mojtaba Vaezi:
Deep Autoencoder-Based Constellation Design in Multiple Access Channels. - Daniella Bar-Lev, Michael Shlizerman:
A Single-Bit Redundancy Framework for Multi-Dimensional Parametric Constraints. - Jun Takamatsu, Atsushi Kanehira, Kazuhiro Sasabuchi, Naoki Wake, Katsushi Ikeuchi:
IK Seed Generator for Dual-Arm Human-like Physicality Robot with Mobile Base. - Ramesh Manuvinakurike, Emanuel Moss, Elizabeth Anne Watkins, Saurav Sahay, Giuseppe Raffa, Lama Nachman:
Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines. - Sahar Torkhesari, Behnam Yousefimehr, Mehdi Ghatee:
Car Sensors Health Monitoring by Verification Based on Autoencoder and Random Forest Regression. - Jonathan Lenchner, Karan Srivastava, Joao Goncalves, Lior Horesh:
SynPAT: A System for Generating Synthetic Physical Theories with Data. - Nayara de Oliveira Faria, Joseph L. Gabbard:
Inattentional Blindness with Augmented Reality HUDS: An On-road Study. - Tianya Zhao, Ningning Wang, Junqing Zhang, Xuyu Wang:
Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting. - Milad Sabouri, Masoud Mansoury, Kun Lin, Bamshad Mobasher:
Towards Explainable Temporal User Profiling with LLMs. - Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong:
Rethinking Time Encoding via Learnable Transformation Functions. - Zayn Wang, Frank Pu, Vinci Cheung, Robert Hao:
Balancing Security and Liquidity: A Time-Weighted Snapshot Framework for DAO Governance Voting. - Vladimir Batagelj:
Drilling into Erasmus learning mobility flows between countries 2014-2024. - Itai Dinur, Nathan Keller, Avichai Marmor:
Non-Adaptive Cryptanalytic Time-Space Lower Bounds via a Shearer-like Inequality for Permutations. - Golsana Ghaemi, Kazem Taram, Renato Mancuso:
Heterogeneous Memory Benchmarking Toolkit. - Daria Gitman, Igor Gitman, Evelina Bakhturina:
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis. - Zihang Wei, Yunlong Zhang, Chenxi Liu, Yang Zhou:
Neural Networks Enabled Discovery On the Higher-Order Nonlinear Partial Differential Equation of Traffic Dynamics. - Stanislava Gardasevic, Manika Lamba, Jasmine S. Malone:
Co-Designing a Knowledge Graph Navigation Interface: A Participatory Approach. - Ihab Tabbara, Hussein Sibai:
Learning Neural Control Barrier Functions from Offline Data with Conservatism. - Xianjin Yang, Jingguo Zhang:
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems. - Vladimir Batagelj, Tomaz Pisanski, Iztok Savnik, Ana Slavec, Nino Basic:
Towards a format for describing networks / 1. Networks and knowledge graphs. - Han Wang, Adam White, Martha White:
Fine-Tuning without Performance Degradation. - Amir Azarmehr, Soheil Behnezhad, Alma Ghafari, Madhu Sudan:
Lower Bounds for Non-adaptive Local Computation Algorithms. - Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon:
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. - Vladimir Batagelj, Tomaz Pisanski, Iztok Savnik, Ana Slavec, Nino Basic:
Towards a format for describing networks / 2. Format elements. - Nicola Galesi, Tony Huynh, Fariba Ranjbar:
Cluster deletion and clique partitioning in graphs with bounded clique number. - Arman Ibrayeva, Batyrkhan Omarov:
Optimal Design of a Walking Robot: Analytical, Numerical, and Machine Learning Methods for Multicriteria Synthesis. - Haocheng Meng, Shaocheng Luo, Zhenyuan Liang, Qing Huang, Amir Khazraei, Miroslav Pajic:
MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery. - Ruiquan Huang, Yingbin Liang, Jing Yang:
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias. - Adam Casselman, Manav Vora, Melkior Ornik:
Virtual Force-Based Routing of Modular Agents on a Graph. - Edison Mucllari, Zachary Daniels, David Zhang, Qiang Ye:
Compact Recurrent Transformer with Persistent Memory. - Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma:
Robust Root Cause Diagnosis using In-Distribution Interventions. - Timur Jaganov, John Blake, Julián Villegas, Nicholas Carr:
Large Language Model-Driven Dynamic Assessment of Grammatical Accuracy in English Language Learner Writing. - Yin Huang, Yongqi Dong, Youhua Tang, Alvaro García Hernandez:
A Self-Supervised Transformer for Unusable Shared Bike Detection. - A. H. Abbas:
TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning. - Roberto Bigazzi:
Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning. - Boyuan Meng, Xiaohan Zhang, Peilin Li, Zhe Wu, Yiming Li, Wenkai Zhao, Beinan Yu, Hui-Liang Shen:
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion. - Ugo Dal Lago, Naohiko Hoshino, Paolo Pistone:
On The Metric Nature of (Differential) Logical Relations. - Zhenyu Wang, Molei Liu, Jing Lei, Francis Bach, Zijian Guo:
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization. - Wenxin Zhang, Ding Xu, Guangzhen Yao, Xiaojian Lin, Renxiang Guan, Chengze Du, Renda Han, Xi Xuan, Cuicui Luo:
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection. - Xiaoshan Huang, Jie Gao, Haolun Wu:
SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning. - Wenxin Zhang, Ding Xu, Xi Xuan, Lei Jiang, Guangzhen Yao, Renda Han, Xiangxiang Lang, Cuicui Luo:
Addressing Noise and Stochasticity in Fraud Detection for Service Networks. - Xiaoshan Huang, Haolun Wu, Xue (Steve) Liu, Susanne P. Lajoie:
What Makes Teamwork Work? A Multimodal Case Study on Emotions and Diagnostic Expertise in an Intelligent Tutoring System. - Akhiad Bercovich, Itay Levy, Izik Golan, Mohammad Dabbah, Ran El-Yaniv, Omri Puny, Ido Galil, Zach Moshe, Tomer Ronen, Najeeb Nabwani, Ido Shahaf, Oren Tropp, Ehud Karpas, Ran Zilberstein, Jiaqi Zeng, Soumye Singhal, Alexander Bukharin, Yian Zhang, Tugrul Konuk, Gerald Shen, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Yoshi Suhara, Olivier Delalleau, Zijia Chen, Zhilin Wang, David Mosallanezhad, Adi Renduchintala, Haifeng Qian, Dima Rekesh, Fei Jia, Somshubra Majumdar, Vahid Noroozi, Wasi Uddin Ahmad, Sean Narenthiran, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Siddhartha Jain, Igor Gitman, Ivan Moshkov, Wei Du, Shubham Toshniwal, George Armstrong, Branislav Kisacanin, Matvei Novikov, Daria Gitman, Evelina Bakhturina, Jane Polak Scowcroft, John Kamalu, Dan Su, Kezhi Kong, Markus Kliegl, Rabeeh Karimi, Ying Lin, Sanjeev Satheesh, Jupinder Parmar, Pritam Gundecha, Brandon Norick, Joseph Jennings, Shrimai Prabhumoye, Syeda Nahida Akter, Mostofa Patwary, Abhinav Khattar, Deepak Narayanan, Roger Waleffe, Jimmy Zhang, Bor-Yiing Su, Guyue Huang, Terry Kong, Parth Chadha, Sahil Jain, Christine Harvey, Elad Segal, Jining Huang, Sergey Kashirsky, Robert McQueen, Izzy Putterman, George Lam, Arun Venkatesan, Sherry Wu, Vinh Nguyen, Manoj Kilaru, Andrew Wang, Anna Warno, Abhilash Somasamudramath, Sandip Bhaskar, Maka Dong, Nave Assaf, Shahar Mor, Omer Ullman Argov, Scot Junkin, Oleksandr Romanenko, Pedro Larroy, Monika Katariya, Marco Rovinelli, Viji Balas, Nicholas Edelman, Anahita Bhiwandiwalla, Muthu Subramaniam:
Llama-Nemotron: Efficient Reasoning Models. - Tina Khezresmaeilzadeh, Jiang Zhang, Dimitrios Andreadis, Konstantinos Psounis:
Preserving Privacy and Utility in LLM-Based Product Recommendations. - Yuhan Liu, Lin Ning, Neo Wu, Karan Singhal, Philip Andrew Mansfield, Devora Berlowitz, Sushant Prakash, Bradley Green:
Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning. - Yujie Tao, Libby Ye, Jeremy N. Bailenson, Sean Follmer:
Audio Personas: Augmenting Social Perception via Body-Anchored Audio Cues. - Vahid Shamsaddini, M. Amin Rahimian:
Extended Persistent Homology Distinguishes Simple and Complex Contagions with High Accuracy. - Mark Unruh Wyse:
The Open-Source BlackParrot-BedRock Cache Coherence System. - Kota Fukuda, Guanqin Zhang, Zhenya Zhang, Yulei Sui, Jianjun Zhao:
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification. - Kessia Nepomuceno, Fábio Petrillo:
The AI Fairness Myth: A Position Paper on Context-Aware Bias. - Loc X. Nguyen, Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
SemSpaceFL: A Collaborative Hierarchical Federated Learning Framework for Semantic Communication in 6G LEO Satellites. - Xili Hou, Keming Wang, Huibing Zhao, Ruiyin Shi:
A SCADE Model Verification Method Based on B-Model Transformation. - Thanh Tran, Viet-Hoang Tran, Thanh T. Chu, Trang Pham, Laurent El Ghaoui, Tam Le, Tan M. Nguyen:
Tree-Sliced Wasserstein Distance with Nonlinear Projection. - Hanmo Liu, Kayleen Smith, Zimu Yang, Mark Yim:
Real-time Two-tape Control System in Vine robots. - Linus Götz, Dominik Köppl:
LZD-style Compression Scheme with Truncation and Repetitions. - Yuewen Mei, Tong Nie, Jian Sun, Ye Tian:
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models. - Xin Chen, Yuze Chen, Yuan Zhou:
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems. - Xuzhe Xia, Nicholas Kwan, Lele Wang:
On the Worst-Case Complexity of Gibbs Decoding for Reed-Muller Codes. - Yeonsang Shin, Jihwan Kim, Yumin Song, Kyungseung Lee, Hyunhee Chung, Taeyoung Na:
Generating Animated Layouts as Structured Text Representations. - Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu:
Attack and defense techniques in large language models: A survey and new perspectives. - Yingquan Chen, Qianmu Li, Xiaocong Wu, Huifeng Li, Qing Chang:
A Character-based Diffusion Embedding Algorithm for Enhancing the Generation Quality of Generative Linguistic Steganographic Texts. - Xuhui Jiang, Shengjie Ma, Chengjin Xu, Cehao Yang, Liyu Zhang, Jian Guo:
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models. - Jiahuan Long, Xin Zhou:
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment. - Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Nguyen Quoc Viet Hung, Hongzhi Yin:
Multi-agents based User Values Mining for Recommendation. - Shunxian Gu, Chaoqun You, Bangbang Ren, Lailong Luo, Junxu Xia, Deke Guo:
Accelerating Deep Neural Network Training via Distributed Hybrid Order Optimization. - Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang:
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. - Yash Goel, Ayan Sengupta, Tanmoy Chakraborty:
Position: Enough of Scaling LLMs! Lets Focus on Downscaling. - Xiao Ma, Young D. Kwon, Dong Ma:
On-demand Test-time Adaptation for Edge Devices. - Nik Aberle:
Destructive Interference: Encoding Loss in the Overlap. - Nicolas Bousquet, Quentin Deschamps, Arnaud Mary, Amer E. Mouawad, Théo Pierron:
The tape reconfiguration problem and its consequences for dominating set reconfiguration. - Sijin Sun, Liangbin Zhao, Ming Deng, Xiuju Fu:
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language. - Jiaqi Zhang, Shikai Guo, Hui Li, Chenchen Li, Yu Chai, Rong Chen:
Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks. - Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka:
DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning. - Taewook Park, Jinwoo Lee, Hyondong Oh, Won-Jae Yun, Kyu-Wha Lee:
Optimizing Indoor Farm Monitoring Efficiency Using UAV: Yield Estimation in a GNSS-Denied Cherry Tomato Greenhouse. - Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang:
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. - Jaeyoon Song, Zahra Ashktorab, Thomas W. Malone:
Togedule: Scheduling Meetings with Large Language Models and Adaptive Representations of Group Availability. - Tessa De La Fuente:
Photoshop Batch Rendering Using Actions for Stylistic Video Editing. - Aouaidjia Kamel, Aofan Li, Wenhao Zhang, Chongsheng Zhang:
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer. - Sumit Mamtani, Maitreya Sonawane, Kanika Agarwal, Nishanth Sanjeev:
Token-free Models for Sarcasm Detection. - Ling Tang, Yuefeng Chen, Hui Xue, Quanshi Zhang:
Towards the Resistance of Neural Network Watermarking to Fine-tuning. - Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen:
Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. - Xinran Zhao, Hanie Sedghi, Bernd Bohnet, Dale Schuurmans, Azade Nova:
Improving Large Language Model Planning with Action Sequence Similarity. - Aleksey K. Alekseev, Alexander E. Bondarev, Y. S. Pyatakova:
On calculation of canonical decomposition of Tensor via the grid of local discrepancies. - Jongwook Han, Dongmin Choi, Woojung Song, Eun-Ju Lee, Yohan Jo:
Value Portrait: Understanding Values of LLMs with Human-aligned Benchmark. - Vishal Gandhi, Sagar Gandhi:
Fine-Tuning Without Forgetting: Adaptation of YOLOv8 Preserves COCO Performance. - Kenji Koide, Aoki Takanose, Shuji Oishi, Masashi Yokozuka:
Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling. - Liguo Ji, Chenchen Li, Shenglin Wang, Furui Zhan:
Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning. - Huy Quang Ngo, Mingyu Guo, Hung X. Nguyen:
Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory. - Christian Vogler, Abraham Glasser, Raja S. Kushalnagar, Matthew Seita, Mariana Arroyo Chavez, Keith Delk, Paige S. DeVries, Molly Feanny, Bernard Thompson, James M. Waller:
Barriers to Employment: The Deaf Multimedia Authoring Tax. - Ruyu Yan, Da-Qing Zhang:
Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing. - Lui Yoshida:
Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models? - Xiaojun Zhou:
Stagnation in Evolutionary Algorithms: Convergence ≠ Optimality. - Thomas Colcombet, A. V. Sreejith:
Regular expressions over countable words. - Ru-yu Yan, Da-Qing Zhang:
Edge Detection based on Channel Attention and Inter-region Independence Test. - Xuyang Chen, Jingliang Duan, Lin Zhao:
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator. - Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao:
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. - Letian Yi, Siyuan Yang, Ying Cui, Zhilu Lai:
Transforming physics-informed machine learning to convex optimization. - Junaid Akram, Ali Anaissi, Awais Akram, Youcef Djenouri, Palash Ingle, Rutvij H. Jhaveri:
Capability-Based Multi-Tenant Access Management in Crowdsourced Drone Services. - Nishant Jain, Xunpeng Huang, Yian Ma, Tong Zhang:
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees. - Kai Hu, Weichen Yu, Li Zhang, Alexander Robey, Andy Zou, Chengming Xu, Haoqi Hu, Matt Fredrikson:
Transferable Adversarial Attacks on Black-Box Vision-Language Models. - Boris Kriuk, Matey Yordanov:
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation. - An T. Le, Khai Nguyen, Minh Nhat Vu, João Carvalho, Jan Peters:
Model Tensor Planning. - Jihong Wang, Xiaochuan Tian, Zhongqiang Zhang, Stewart Silling, Siavash Jafarzadeh, Yue Yu:
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions. - Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian:
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs. - David Jin, Qian Fu, Yuekang Li:
Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation. - Ziqi Ding, Qian Fu, Junchen Ding, Gelei Deng, Yi Liu, Yuekang Li:
A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories. - Yijie Jin, Junjie Peng, Xuanchao Lin, Haochen Yuan, Lan Wang, Cangzhi Zheng:
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs. - Edvin Fasth, Sagar Singh:
Improving Group Fairness in Knowledge Distillation via Laplace Approximation of Early Exits. - Zongyuan Li, Pengfei Li, Runnan Qi, Yanan Ni, Lumin Jiang, Hui Wu, Xuebo Zhang, Kuihua Huang, Xian Guo:
Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation. - Yiyuan Yang, Guodong Long, Tianyi Zhou, Qinghua Lu, Shanshan Ye, Jing Jiang:
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach. - Zhenyu Jiang, Xintong Chen, Jiangbin Lyu, Liqun Fu, Rui Zhang:
Quasi-Static IRS: 3D Shaped Beamforming for Area Coverage Enhancement. - Lei Zhao, Ling Kang, Quan Guo:
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM. - Sungje Park, Stephen Tu:
Integration Matters for Learning PDEs with Backwards SDEs. - Daneul Kim, Jaeah Lee, Jaesik Park:
Improving Editability in Image Generation with Layer-wise Memory. - Sébastien Ferré:
MADIL: An MDL-based Framework for Efficient Program Synthesis in the ARC Benchmark. - Xiaoyi Lin, Kunpeng Yao, Lixin Xu, Xueqiang Wang, Xuetao Li, Yuchen Wang, Miao Li:
DexFlow: A Unified Approach for Dexterous Hand Pose Retargeting and Interaction. - Alexander Wuttke, Adrian Rauchfleisch, Andreas Jungherr:
Artificial Intelligence in Government: Why People Feel They Lose Control. - Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi:
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. - Zuzanna Osika, Roxana Radelescu, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah:
Multi-Objective Reinforcement Learning for Water Management. - Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi:
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. - Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long:
Nesterov Method for Asynchronous Pipeline Parallel Optimization. - Arthur C. Norman, Stephen M. Watt:
Semi-Centennial REDUCE. - Do Huu Dat, Nam Hyeonu, Po Yuan Mao, Tae-Hyun Oh:
VSC: Visual Search Compositional Text-to-Image Diffusion Model. - Aurelio Raffa Ugolini, Mara Tanelli, Valentina Breschi:
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion. - Rania Abdelghani, Kou Murayama, Celeste Kidd, Hélène Sauzéon, Pierre-Yves Oudeyer:
Investigating Middle School Students Question-Asking and Answer-Evaluation Skills When Using ChatGPT for Science Investigation. - Yingjie Qi, Jianlei Yang, Yiou Wang, Yikun Wang, Dayu Wang, Ling Tang, Cenlin Duan, Xiaolin He, Weisheng Zhao:
CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures. - Dimitrios-Nikitas Nastos, Themistoklis Diamantopoulos, Davide Tosi, Martina Tropeano, Andreas L. Symeonidis:
Towards an Interpretable Analysis for Estimating the Resolution Time of Software Issues. - Ali Mammadov, Loïc Le Folgoc, Julien Adam, Anne Buronfosse, Gilles Hayem, Guillaume Hocquet, Pietro Gori:
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study. - Murtadha H. M. Ahmed, Wen Bo, Yunfeng Liu:
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning. - Yukun Li, Li-Ping Liu:
Incorporating Inductive Biases to Energy-based Generative Models. - Riccardo Busetto, Manas Mejari, Marco Forgione, Alberto Bemporad, Dario Piga:
Learning Low-Dimensional Embeddings for Black-Box Optimization. - Xun Li, Jian Yang, Fenli Jia, Muyu Wang, Qi Wu, Jun Wu, Jinpeng Mi, Jilin Hu, Peidong Liang, Xuan Tang, Ke Li, Xiong You, Xian Wei:
NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization. - Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah:
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning. - Kutay Tire, Berk Çakar, Eray Tüzün:
Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions. - Catalina Goanta, Savvas Zannettou, Rishabh Kaushal, Jacob van de Kerkhof, Thales Bertaglia, Taylor Annabell, Haoyang Gui, Gerasimos Spanakis, Adriana Iamnitchi:
The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act. - Gianpietro Castiglione, Marcello Maugeri, Giampaolo Bella:
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation. - Marco C. Campi, Algo Carè, Luis G. Crespo, Simone Garatti, Federico A. Ramponi:
Risk Analysis and Design Against Adversarial Actions. - Ioannis Tzortzis, Evagoras Makridis, Charalambos D. Charalambous, Themistoklis Charalambous:
Remote Estimation over Packet-Dropping Wireless Channels with Partial State Information. - Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer:
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. - Wenfa Wu, Guanyu Zhang, Zheng Tan, Yi Wang, Hongsheng Qi:
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts. - Phuoc Pham, Murali Sridharan, Matteo Esposito, Valentina Lenarduzzi:
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD). - V. H. M. Netto, Thibault Cholez, Claudia-Lavinia Ignat:
Active Sybil Attack and Efficient Defense Strategy in IPFS DHT. - Pedro Silva Gomes, Miguel Boaventura Rodrigues, Carlos Baquero:
ConflictSync: Bandwidth Efficient Synchronization of Divergent State. - Frédéric Sabot, Pierre-Etienne Labeau, Pierre Henneaux:
Towards Probabilistic Dynamic Security Assessment and Enhancement of Large Power Systems. - Ted K. Mburu, Kangxuan Rong, Campbell J. McColley, Alexandra Werth:
Methodological Foundations for AI-Driven Survey Question Generation. - Tianfu Qi, Jun Wang:
Polarization Decomposition and Its Applications. - Milad Leyli-Abadi, Jérôme Picault, Antoine Marot, Jean-Patrick Brunet, Agathe Gilain, Amarsagar Reddy Ramapuram Matavalam, Shaban Ghias Satti, Qingbin Jiang, Yang Liu, Dean Justin Ninalga:
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case. - Pradanya Boro, Aayushman Raina, Srinivasan Natesan:
A Parameter-Driven Physics-Informed Neural Network Framework for Solving Two-Parameter Singular Perturbation Problems Involving Boundary Layers. - Massimo Pavan, Claudio Galimberti, Manuel Roveri:
TActiLE: Tiny Active LEarning for wearable devices. - Chebrolu Niranjan, Kokil Jaidka, Gerard Christopher Yeo:
On the Limitations of Steering in Language Model Alignment. - Thanh Son Nguyen, Dang Minh Duc Nguyen, Van Thanh Nguyen:
Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series. - Yeonwoo Jeong, Kyuli Park, Hyunji Cho, Sungyong Park:
CaGR-RAG: Context-aware Query Grouping for Disk-based Vector Search in RAG Systems. - Zhaoyang Ma, Zhihao Wu, Wang Lu, Xin Gao, Jinghang Yue, Taolin Zhang, Lipo Wang, Youfang Lin, Jing Wang:
Harmonizing Intra-coherence and Inter-divergence in Ensemble Attacks for Adversarial Transferability. - Pramook Khungurn, Pratch Piyawongwisal, Sira Sriswasdi, Supasorn Suwajanakorn:
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities. - Meng Hua, Chenghong Bian, Haotian Wu, Deniz Gündüz:
Realizing Fully-Connected Layers Over the Air via Reconfigurable Intelligent Surfaces. - Mark Swillus, Carolin E. Brandt, Andy Zaidman:
An instrument to measure factors that constitute the socio-technical context of testing experience. - Jiangtong Tan, Hu Yu, Jie Huang, Jie Xiao, Feng Zhao:
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis. - Carlo Bono, Nick Liu, Giuseppe Russo, Francesco Pierri:
Self-moderation in the decentralized era: decoding blocking behavior on Bluesky. - Francisco Aguilera-Martínez, Fernando Berzal:
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures. - Andreas Sochopoulos, Nikolay Malkin, Nikolaos Tsagkas, João Moura, Michael Gienger, Sethu Vijayakumar:
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings. - Dimitrios Tsitsigkos, Achilleas Michalopoulos, Nikos Mamoulis, Manolis Terrovitis:
BS-tree: A gapped data-parallel B-tree. - Mehrdad Asadi, Roxana Radulescu, Ann Nowé:
Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms. - Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu:
TSTMotion: Training-free Scene-aware Text-to-motion Generation. - Mar Tejedor, Berta Casas, Javier Conejero, Alba Cervera-Lierta, Rosa M. Badia:
Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing. - Nahshon Mokua Obiri, Kristof Van Laerhoven:
EnviKal-Loc: Sub-10m Indoor LoRaWAN Localization using an Environmental-Aware Path Loss and Adaptive RSSI Smoothing. - M. Saeid HaghighiFard, Sinem Coleri:
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks. - Mengyu Qian, Xidong Mu, Li You, Hyundong Shin, Michail Matthaiou:
Spectral Efficiency Analysis of Near-Field Holographic MIMO over Ricean Fading Channels. - Mengyu Qian, Xidong Mu, Li You, Michail Matthaiou:
Continuous Aperture Array (CAPA)-Based Multi-Group Multicast Communications. - Federico Maria Cau, Lucio Davide Spano:
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions. - Isolde Adler, Eva Fluck, Tim Seppelt, Gian Luca Spitzer:
Going deep and going wide: Counting logic and homomorphism indistinguishability over graphs of bounded treedepth and treewidth. - Ivor van der Hoog, Eva Rotenberg, Daniel Rutschmann:
A Combinatorial Proof of Universal Optimality for Computing a Planar Convex Hull. - Najmus Sakib Sizan, Md. Abu Layek, Khondokar Fida Hasan:
A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture. - Mahdi Dhaini, Ege Erdogan, Nils Feldhus, Gjergji Kasneci:
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods. - Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed:
CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. - Simar Ghumman, Fabio Di Troia, William B. Andreopoulos, Mark Stamp, Sanjit Rai:
AGRO: An Autonomous AI Rover for Precision Agriculture. - Andrej Macko, Lukás Gajdosech, Viktor Kocur:
Efficient Vision-based Vehicle Speed Estimation. - Anna-Katharina Nitschke, Carlos Brandl, Fabian Egersdörfer, Magdalena Görtz, Markus Hohenfellner, Matthias Weidemüller:
Design for a Digital Twin in Clinical Patient Care. - Qingyu Xian, Weiqin Jiao, Hao Cheng, Berend Jan van der Zwaag, Yanqiu Huang:
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph. - Shunpu Tang, Yuanyuan Jia, Qianqian Yang, Ruichen Zhang, Jihong Park, Dusit Niyato:
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models. - Henry Austin, Petra Berenbrink, Tom Friedetzky, Thorsten Götte, Lukas Hintze:
A Space-Time Trade-off for Fast Self-Stabilizing Leader Election in Population Protocols. - Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, Xiatian Zhu:
High Dynamic Range Novel View Synthesis with Single Exposure. - Deepika Saxena, Ashutosh Kumar Singh:
A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model. - Akira Tamamori:
Quantitative Attractor Analysis of High-Capacity Kernel Logistic Regression Hopfield Networks. - Yaniv Dover, Shaul Oreg:
Tell me who its founders are and I'll tell you what your online community looks like: Online community founders' personality and community attributes. - Yunlu Xiao, Ljiljana Simic:
Performance of Cell-Free Massive MIMO in Realistic Urban Propagation Environments. - Kui Jiang, Yan Luo, Junjun Jiang, Xin Xu, Fei Ma, Fei Yu:
RD-UIE: Relation-Driven State Space Modeling for Underwater Image Enhancement. - Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin:
Core-Set Selection for Data-efficient Land Cover Segmentation. - Thomas Mejstrik, Vladimiar Yu. Protasov:
Constructive solution of the common invariant cone problem. - Anh Tung Nguyen, Quanyan Zhu, André Teixeira:
Bilateral Cognitive Security Games in Networked Control Systems under Stealthy Injection Attacks. - Anh Tung Nguyen, Sribalaji Coimbatore Anand, André M. H. Teixeira:
Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks. - Fenghao Zhu, Xinquan Wang, Chen Zhu, Tierui Gong, Zhaohui Yang, Chongwen Huang, Xiaoming Chen, Zhaoyang Zhang, Mérouane Debbah:
Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches. - Youngsik Yun, Jeongmin Bae, Hyun Seung Son, Seoha Kim, Hahyun Lee, Gun Bang, Youngjung Uh:
Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting. - Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne:
CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. - Mahdi Dhaini, Kafaite Zahra Hussain, Efstratios Zaradoukas, Gjergji Kasneci:
EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models. - Evelyn Chapuma, Grey Mengezi, Lewis Msasa, Amelia V. Taylor:
mwBTFreddy: A Dataset for Flash Flood Damage Assessment in Urban Malawi. - Christopher K. I. Williams:
Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design. - William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo:
PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC). - Wei Han, Hui Chen, Soujanya Poria:
PREMISE: Matching-based Prediction for Accurate Review Recommendation. - Andre Opris:
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update. - Vladimir Somers, Baptiste Standaert, Victor Joos, Alexandre Alahi, Christophe De Vleeschouwer:
CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking. - Elie Saad, Mariem Besbes, Marc Zolghadri, Victor Czmil, Claude Baron, Vincent Bourgeois:
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications. - Joe Harrison, Peter A. N. Bosman, Tanja Alderliesten:
Thinking Outside the Template with Modular GP-GOMEA. - Gaoxiang Cong, Liang Li, Jiadong Pan, Zhedong Zhang, Amin Beheshti, Anton van den Hengel, Yuankai Qi, Qingming Huang:
FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing. - Benjamin Doerr, Martin S. Krejca, Andre Opris:
Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm. - Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang:
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. - Radu Iosif, Arnaud Sangnier, Neven Villani:
Verifying Parameterized Networks Specified by Vertex-Replacement Graph Grammars. - Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen:
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models. - Zhaoyan Wang, Xiangchi Song, In-Young Ko:
MultiGran-STGCNFog: Towards Accurate and High-Throughput Inference for Multi-Granular Spatiotemporal Traffic Forecasting. - Hao-Ran Yang, Chuan-Xian Ren:
A Physics-preserved Transfer Learning Method for Differential Equations. - Luca Ruschioni, Robert Shuttleworth, Rumyana Neykova, Barbara Re, Giuseppe Destefanis:
Micro-Patterns in Solidity Code. - Hooman Danesh, Maruthi Annamaraju, Tim Brepols, Stefanie Reese, Surya R. Kalidindi:
Reduced-order structure-property linkages for stochastic metamaterials. - Yajuan Zhang, Ji-Jiang Yang, Yule Yan, Liang Yang, Ping Zhang:
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables. - Boaz Menuhin, Moni Naor:
Shuffling Cards When You Are of Very Little Brain: Low Memory Generation of Permutations. - Changhe Chen, Quantao Yang, Xiaohao Xu, Nima Fazeli, Olov Andersson:
ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow. - Xinyu Li, Xuebin Ren, Shusen Yang, Liang Shi, Chia-Mu Yu:
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams. - Tingting Luo, Jiayu Liu, Cairong Chen, Linjie Chen, Changfeng Ma:
A generalization of the Gauss-Seidel iteration method for generalized absolute value equations. - Tianhao Li, Yibei Li, Zhixin Liu, Xiaoming Hu:
Pattern formation using an intrinsic optimal control approach. - Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang:
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System. - Regan Bolton, Mohammadreza Sheikh Fathollahi, Simon Parkinson, Vanessa Vulovic, Gary J. Bamford, Dan Basher, Howard Parkinson:
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments. - Mahdi Hejrati, Jouni Mattila:
Desired Impedance Allocation for Robotic Systems. - Anicet Lepetit Ondo, Laurence Capus, Mamadou Bousso:
Enhancing SPARQL Query Rewriting for Complex Ontology Alignments. - Svenja Kenneweg, Jörg Deigmöller, Julian Eggert, Philipp Cimiano:
A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Event Types. - Shang Wang, Huanrong Tang, Jianquan Ouyang:
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture. - Shang Wang, Huanrong Tang, Jianquan Ouyang:
A Transformer-based Neural Architecture Search Method. - Sheikh Samit Muhaimin, Spyridon Mastorakis:
Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System. - Yifang Pan, Karan Singh, Luiz Gustavo Hafemann:
Model See Model Do: Speech-Driven Facial Animation with Style Control. - Barisi Kogam, Yevgeniya Kovalchuk, Mohamed Medhat Gaber:
ABCO: Adaptive Bacterial Colony Optimisation. - Chenxi Li, Weijie Wang, Qiang Li, Bruno Lepri, Nicu Sebe, Weizhi Nie:
FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors. - Yasser Alghouass, Benjamin Doerr, Martin S. Krejca, Mohammed Lagmah:
Proven Approximation Guarantees in Multi-Objective Optimization: SPEA2 Beats NSGA-II. - Svenja Kenneweg, Jörg Deigmöller, Philipp Cimiano, Julian Eggert:
TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References. - Anass Grini, Oumaima Taheri, Btissam El Khamlichi, Amal El Fallah Seghrouchni:
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability. - Ahmed Al Shafei, Nima Amjady, Hamidreza Zareipour, Yankai Cao:
Power System Transition Planning: An Industry-Aligned Framework for Long-Term Optimization. - Mohammed Sumayli, Olugbenga Moses Anubi:
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning. - Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti, Marcello Restelli:
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story. - Matej Boxan, Alexander Krawciw, Timothy D. Barfoot, François Pomerleau:
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation. - Javad Gholipour, Rafael F. Schaefer, Gerhard P. Fettweis:
Semantic Communication: From Philosophical Conceptions Towards a Mathematical Framework. - Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li:
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. - Marie-Charlotte Brandenburg, Katharina Jochemko:
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets. - Leonardo F. Toso, Lintao Ye, James Anderson:
Learning Stabilizing Policies via an Unstable Subspace Representation.