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ORCIDCoRR, December 2025
Volume 2025-12, December 2025
- David Pride, Matteo Cancellieri, Petr Knoth:
Identifying and extracting Data Access Statements from full-text academic articles. - Qian Li, Yuyi Wang:
Efficient Turing Machine Simulation with Transformers. - Jihang Li, Bing Xu, Zulong Chen, Chuanfei Xu, Minping Chen, Suyu Liu, Ying Zhou, Zeyi Wen:
Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions. - Agniprabha Chakraborty:
DREAMer-VXS: A Latent World Model for Sample-Efficient AGV Exploration in Stochastic, Unobserved Environments. - Yuqin Zhao, Linghui Ye, Haihang Xia, Nicholas Luke Seed, Tiantai Deng:
VeriPy - A New Python-Based Approach for SDR Pipelined/Unrolled Hardware Accelerator Generation. - Jingyi Huang, Yuyi Yang, Mengmeng Ji, Charles Alba, Sheng Zhang, Ruopeng An:
Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking. - Veeramani Pugazhenthi, Wei-Hsiang Chu, Junwei Lu, Jadyn N. Miyahira, Soheil Salehi:
MOTION: ML-Assisted On-Device Low-Latency Motion Recognition. - Joseph Matveyenko, James Liu, John David Parsons, Ryan A. Brown, Alina Palimaru, Prateek Puri:
Development and Benchmarking of a Blended Human-AI Qualitative Research Assistant. - Rutvik Kokate, Pranati Kompella, Prasad Onkar:
Leveraging LLMs for Design Ideation: An AI Tool to Assist Creativity. - Pablo Villacorta-Aylagas, Manuel Rodríguez-Cayetano, Carlos Castillo-Passi, Pablo Irarrázaval-Mena, Federico Simmross-Wattenberg, Carlos Alberola-López:
MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform. - Andrei Enea
:
Closing the Block-to-Text Gap: A Domain-Specific JavaScript Editor for Early Computational Thinking. - Takeshi Kato, Misa Owa, Jyunichi Miyakoshi, Yasuhiro Asa, Takashi Numata, Yasuyuki Kudo, Tadayuki Matsumura, Kanako Esaki, Ryuji Mine, Toru Yasumura, Hikaru Matsunaka, Satomi Hori:
Cyber-human social co-operating system: Application design and implementation. - Serena Jinchen Xie, Shumenghui Zhai, Yanjing Liang, Jingyi Li, Xuehong Fan, Trevor Cohen, Weichao Yuwen:
Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses. - Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece:
The Impact of Concept Explanations and Interventions on Human-Machine Collaboration. - Mubarek Mohammed:
Architect in the Loop Agentic Hardware Design and Verification. - (Withdrawn) Hardware-Aware DNN Compression for Homogeneous Edge Devices.
- Afsah Sharaf Khan, Falong Fan, Doohwan DH Kim, Abdurrahman Alshareef, Dong Chen, Justin Kim, Ernest Carter, Bo Liu, Jerzy W. Rozenblit, Bernard P. Zeigler:
A Comprehensive Survey on Surgical Digital Twin. - Guang Yang, Wei Zheng, Xiang Chen, Dong Liang, Peng Hu, Yukui Yang, Shaohang Peng, Zhenghan Li, Jiahui Feng, Xiao Wei, Kexin Sun, Deyuan Ma, Haotian Cheng, Yiheng Shen, Xing Hu, Terry Yue Zhuo, David Lo:
Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead. - Kemal Oksuz, Alexandru Buburuzan, Anthony Knittel, Yuhan Yao, Puneet K. Dokania:
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges. - Khang Nguyen, Minh Nhat Vu:
XFlowMP: Task-Conditioned Motion Fields for Generative Robot Planning with Schrodinger Bridges. - Hetvi Shastri, Akanksha Atrey, Andre Beck, Nirupama Ravi:
Trust or Bust: A Survey of Threats in Decentralized Wireless Networks. - X. Hu, G. Ye:
Learning from Watching: Scalable Extraction of Manipulation Trajectories from Human Videos. - Yun Ji, Zeyu Chen, Xiaoxiong Zhong, Yanan Ma, Sheng Zhang, Yuguang Fang:
Multi-Server FL with Overlapping Clients: A Latency-Aware Relay Framework. - Mahek Desai, Rowena Quinn, Marjan Asadinia:
ML-PCM : Machine Learning Technique for Write Optimization in Phase Change Memory (PCM). - Nivedan Yakolli, Avinash Gautam, Abhijit Das, Yuankai Qi, Virendra Singh Shekhawat:
A Survey on Improving Human Robot Collaboration through Vision-and-Language Navigation. - Naïn Jonckers, Toon Vinck, Peter Karsmakers, Jeffrey Prinzie:
Analysis of Single Event Induced Bit Faults in a Deep Neural Network Accelerator Pipeline. - Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael, Theocharis Theocharides:
An optimization framework for task allocation in the edge/hub/cloud paradigm. - Zhaofan Zhang, Minghao Yang, Sihong Xie, Hui Xiong:
Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement Learning. - Ravindra Ganti, Steve Xu:
Hardware-Aware Neural Network Compilation with Learned Optimization: A RISC-V Accelerator Approach. - Giuseppe Maria Sarda, Nimish Shah, Abubakr Nada, Debjyoti Bhattacharjee, Marian Verhelst:
Decoupled Control Flow and Data Access in RISC-V GPGPUs. - Sathish Krishna Anumula, Sivaramkumar Ponnarangan, Faizal Nujumudeen, Nilakshi Deka, S. Balamuralitharan, M. Venkatesh:
Intelligent Systems and Robotics: Revolutionizing Engineering Industries. - Sathish Krishna Anumula, SVSV Prasad Sanaboina, Ravi Kumar Nagula, R. Nagaraju:
Design And Control of A Robotic Arm For Industrial Applications. - Mislav Has, Tao Xiong, Fehmi Ben Abdesslem, Mario Kusek:
WebAssembly on Resource-Constrained IoT Devices: Performance, Efficiency, and Portability. - Parth Ashokbhai Shiroya, Amod Ashtekar, Swarnagowri Shashidhar, Mohammed E. Eltayeb:
Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments. - Tali Orlev Shapira, Itzik Klein:
ICD-Net: Inertial Covariance Displacement Network for Drone Visual-Inertial SLAM. - He Jiang, Yi Guo, Shikai Guo, Huijiang Liu, Xiaochen Li, Ning Wang, Zhixiong Di:
Critical Path Aware Timing-Driven Global Placement for Large-Scale Heterogeneous FPGAs. - Tasnim Ahmed, Siana Rizwan, Naveed Ejaz, Salimur Choudhury:
LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation. - Sagar Sudhakara, Pankaj Rajak:
Constrained Network Slice Assignment via Large Language Models. - Yanjia Huang, Xianshun Jiang, Xiangbo Gao, Mingyang Wu, Zhengzhong Tu:
VISTAv2: World Imagination for Indoor Vision-and-Language Navigation. - Egemen Sert, Seyda Ertekin:
Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions. - Junzhuo Zhou, Ziwen Wang, Haoxuan Xia, Yuxin Yan, Chengyu Zhu, Ting-Jung Lin, Wei W. Xing, Lei He:
SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning. - Hung-Ming Huang, Yu-Hsin Yang, Fu-Chieh Chang, Yun-Chia Hsu, Yin-Yu Lin, Ming-Fang Tsai, Chun-Chih Yang, Pei-Yuan Wu:
Assessing Large Language Models in Generating RTL Design Specifications. - Angelina Parfenova, Andreas Marfurt, Alexander Denzler, Jürgen Pfeffer:
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis. - Angelina Parfenova, Alexander Denzler, Jürgen Pfeffer:
Emergent Convergence in Multi-Agent LLM Annotation. - Wenzheng Zhao, Ran Zhang, Ruth Palan Lopez, Shu-Fen Wung, Fengpei Yuan:
Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain Knowledge. - Ibrahim Khalil Kabir, Muhammad Faizan Mysorewala:
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches. - Suzie Kim:
Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control. - Amelia Fernández Seguel, Alejandro I. Maass:
Modeling and Control of Magnetic Forces between Microrobots. - Nikhil Rout, Blaise Tine:
A Configurable Mixed-Precision Fused Dot Product Unit for GPGPU Tensor Computation. - Sohaib Errabii, Olivier Sentieys, Marcello Traiola:
KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays. - Peng Chen, Jing Liang, Kang-Jia Qiao, Hui Song, Cai-Tong Yue, Kun-Jie Yu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz:
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards. - Swastik Bhattacharya, Sanjay Das, Anand Menon, Shamik Kundu, Arnab Raha, Kanad Basu:
SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators. - Abdolazim Rezaei, Mehdi Sookhak:
PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving. - Pouya Shiri, Amirali Baniasadi:
DL-CapsNet: A Deep and Light Capsule Network. - Taewook Nam, Sung Ju Hwang:
SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning. - Sreesritha Sai, Sai Venkata Suma Sreeja, Deepthi, Nikhil:
Satellite to Street : Disaster Impact Estimator. - Ohad Bachner, Bar Gamliel:
Enhancing Cognitive Robotics with Commonsense through LLM-Generated Preconditions and Subgoals. - Sungyu Jeong, Minsu Kim, Byungsub Kim:
A CNN-Based Technique to Assist Layout-to-Generator Conversion for Analog Circuits. - Jacob Miske, Ahyan Maya, Ahnaf Inkiad, Jeffrey Ian Lipton:
Reconfigurable Auxetic Devices (RADs) for Robotic Surface Manipulation. - Aswinkumar Varathakumaran, Nirmala Paramanandham:
ProvRain: Rain-Adaptive Denoising and Vehicle Detection via MobileNet-UNet and Faster R-CNN. - Qiwei Liang, Boyang Cai, Minghao Lai, Sitong Zhuang, Tao Lin, Yan Qin, Yixuan Ye, Jiaming Liang, Renjing Xu:
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning. - Jun Jia, Hongyi Miao, Yingjie Zhou, Wangqiu Zhou, Jianbo Zhang, Linhan Cao, Dandan Zhu, Hua Yang, Xiongkuo Min, Wei Sun, Guangtao Zhai:
Adapter Shield: A Unified Framework with Built-in Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation. - Minghe Gao, Juncheng Li, Yuze Lin, Xuqi Liu, Jiaming Ji, Xiaoran Pan, Zihan Xu, Xian Li, Mingjie Li, Wei Ji, Rong Wei, Rui Tang, Qizhou Wang, Kai Shen, Jun Xiao, Qi Wu, Siliang Tang, Yueting Zhuang:
Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning. - Bowen Zhi:
A Hierarchical Framework for Humanoid Locomotion with Supernumerary Limbs. - Mario de Jesus da Graca, Jörg Dahlkemper, Peer Stelldinger:
Diffusion-Based Synthetic Brightfield Microscopy Images for Enhanced Single Cell Detection. - Bin Sun, Rengang Zhang, Zhiteng Chao, Zizhen Liu, Jianan Mu, Jing Ye, Huawei Li:
InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning. - André Dehne, Juri Zach, Peer Stelldinger:
Conceptual Evaluation of Deep Visual Stereo Odometry for the MARWIN Radiation Monitoring Robot in Accelerator Tunnels. - Moses Rahnama:
Strong Normalization for the Safe Fragment of a Minimal Rewrite System: A Triple-Lexicographic Proof and a Conjecture on the Unprovability of Full Termination for Any Relational Operator-Only TRS. - Divendar Murtadak, Yoon Kim, Trilokya Akula:
Exploring Diagnostic Prompting Approach for Multimodal LLM-based Visual Complexity Assessment: A Case Study of Amazon Search Result Pages. - Zhongchun Zhou, Chengtao Lai, Wei Zhang:
LLaMCAT: Optimizing Large Language Model Inference with Cache Arbitration and Throttling. - Venkata Siddharth Dhara, Pawan Kumar:
A Fast and Efficient Modern BERT based Text-Conditioned Diffusion Model for Medical Image Segmentation. - Pei Zhou, Wanting Yao, Qian Luo, Xunzhe Zhou, Yanchao Yang:
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks. - Davide Nadalini, Manuele Rusci, Elia Cereda, Luca Benini, Francesco Conti, Daniele Palossi:
Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs. - Ivo Bueno, Ruikun Hou, Babette Bühler, Tim Fütterer, James Drimalla, Jonathan K. Foster, Peter A. Youngs, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data. - Mohammad Zare:
SemImage: Semantic Image Representation for Text, a Novel Framework for Embedding Disentangled Linguistic Features. - Ioannis Prapas, Nikolaos Papadopoulos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis:
TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts. - Karam Mawas, Mehdi Maboudi, Pedro Achanccaray, Markus Gerke:
Deep Filament Extraction for 3D Concrete Printing. - Hiroshi Haramoto, Kosuke Suzuki:
Making the RANMAR pseudorandom number generator in LAMMPS up to four times faster, with an implementation of jump-ahead. - Kexin Li, Guozhen Ding, Ilya Grishchenko, David Lie:
HMARK: Radioactive Multi-Bit Semantic-Latent Watermarking for Diffusion Models. - Mahdi Aghaei, Saba Ebrahimi, Mohammad Saleh Arafati, Elham Cheshmikhani, Dara Rahmati, Saeid Gorgin, Jungrae Kim:
Modeling and Simulation Frameworks for Processing-in-Memory Architectures. - Boyan Duan, Xiao Liang, Shuai Lu, Yaoxiang Wang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Mao Yang, Weizhu Chen, Yeyun Gong:
Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions. - Brandon Beltz, Po-Yu Chen, Jim Doty, Yvonne Fonken, Nikolos Gurney, Hsiang-Wen Hsing, Sofia Hirschmann, Brett W. Israelsen, Nathan Lau, Mengyun Li, Stacy Marsella, Michael Murray, Jinwoo Oh, Amy Sliva, Kunal Srivastava, Stoney Trent, Peggy Wu, Ya-Ting Yang, Quanyan Zhu:
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis. - Chijul B. Tripathy:
The Bottleneck Birthday Problem. - Ifeanyi Okala:
Comparative Analysis of Vision Transformer, Convolutional, and Hybrid Architectures for Mental Health Classification Using Actigraphy-Derived Images. - Djawad Bekkoucha, Lamine Diop, Abdelkader Ouali, Bruno Crémilleux, Patrice Boizumault:
Efficiently Sampling Interval Patterns from Numerical Databases. - Markus Funke, Patricia Lago:
Injecting Sustainability in Software Architecture: A Rapid Review. - Leo Kao:
Quantum-Adversary-Resilient Evidence Structures and Migration Strategies for Regulated AI Audit Trails. - Dexin Chen:
An O(1) Space Algorithm for N-Dimensional Tensor Rotation: A Generalization of the Reversal Method. - Elham Cheshmikhani, Hamed Farbeh:
An Analytical and Empirical Investigation of Tag Partitioning for Energy-Efficient Reliable Cache. - Amirreza Yousefzadeh:
From RISC-V Cores to Neuromorphic Arrays: A Tutorial on Building Scalable Digital Neuromorphic Processors. - Kyeongha Rho, Hyeongkeun Lee, Jae Won Cho, Joon Son Chung:
MoLT: Mixture of Layer-Wise Tokens for Efficient Audio-Visual Learning. - Ishwaryah Pandiarajan, Mohamed Mansoor Roomi Sindha, Uma Maheswari Pandyan, Sharafia N:
TinyViT: Field Deployable Transformer Pipeline for Solar Panel Surface Fault and Severity Screening. - Zeng Wang, Minghao Shao, Akashdeep Saha, Ramesh Karri, Johann Knechtel, Muhammad Shafique, Ozgur Sinanoglu:
NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration. - Jiaying Hong, Ting Zhu, Thanet Markchom, Huizhi Liang:
Art2Music: Generating Music for Art Images with Multi-modal Feeling Alignment. - Ruo-Syuan Mei, Sixian Jia, Guangze Li, Soo Yeon Lee, Brian Musser, William Keller, Sreten Zakula, Jorge Arinez, Chenhui Shao:
Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance. - Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, Shivdeep Singh, Parameswaran Selvam, Hima Patel, Hiroshi Kanayama:
Generating Verifiable Chain of Thoughts from Exection-Traces. - Jayan Adhikari, Prativa Joshi, Susish Baral:
Analysis of Incursive Breast Cancer in Mammograms Using YOLO, Explainability, and Domain Adaptation. - Fadi Dornaika, Danyang Sun:
Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition. - Andreas Henrik Frederiksen, Ole Sigmund, Federico Ferrari:
A Matlab code for analysis and topology optimization with Third Medium Contact. - Parisa Hamedi, Hamed Jelodar, Samita Bai, Mohammad Meymani, Roozbeh Razavi-Far, Ali A. Ghorbani:
Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation. - Amirreza Zamani, Ayfer Özgür, Mikael Skoglund:
An Information Geometric Approach to Fairness With Equalized Odds Constraint. - Tong Wu, Weibin Wu, Zibin Zheng:
An Empirical Study on the Security Vulnerabilities of GPTs. - Yuyang Li, Swasthik Muloor, Jack Laudati, Nickolas Dematteis, Yidam Park, Hana Kim, Nathan Chang, Inhee Lee:
Ternary-Input Binary-Weight CNN Accelerator Design for Miniature Object Classification System with Query-Driven Spatial DVS. - Swati Sachan, Dale S. Fickett:
DeFi TrustBoost: Blockchain and AI for Trustworthy Decentralized Financial Decisions. - Mridul Ahi, Keerti Choudhary, Shlok Pande, Pushpraj, Lakshay Saggi:
Maximum-Flow and Minimum-Cut Sensitivity Oracles for Directed Graphs. - Ram Ramanathan, Dmitrii Dugaev, Liang Tan, Warren Ramanathan:
Mesh Augmentation of LoRaWAN-based IoT Networks. - Saeed AlMarri, Mathieu Ravaut, Kristof Juhasz, Gautier Marti, Hamdan Al Ahbabi, Ibrahim M. Elfadel:
Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification. - Alessandro De Palma, Greta Dolcetti, Caterina Urban:
Faster Verified Explanations for Neural Networks. - Colin Doumont, Donney Fan, Natalie Maus, Jacob R. Gardner, Henry B. Moss, Geoff Pleiss:
We Still Don't Understand High-Dimensional Bayesian Optimization. - Kent Quanrud:
Approximating Directed Connectivity in Almost-Linear Time. - Mohamed Abdallah Salem, Nourhan Zein Diab:
Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems. - Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu:
Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning. - Shashanka B. R, Mohith Charan R, Seema Banu F:
Chunking Strategies for Multimodal AI Systems. - Seyed Hadi Mirfarshbafan, Nicolas Filliol, Oscar Castañeda, Christoph Studer:
Variable Point: A Number Format for Area- and Energy-Efficient Multiplication of High-Dynamic-Range Numbers. - Jose Luis Lima de Jesus Silva, Joao Pedro Gomes, Paulo Roberto de Melo Barros Junior, Vitor Hugo Serravalle Reis Rodrigues, Alexsandro Guerra Cerqueira:
Hybrid Context-Fusion Attention (CFA) U-Net and Clustering for Robust Seismic Horizon Interpretation. - Anson Ho, Jean-Stanislas Denain, David Atanasov, Samuel Albanie, Rohin Shah:
A Rosetta Stone for AI Benchmarks. - Zag ElSayed, Grace Westerkamp, Gavin Gammoh, Jack Yanchen Liu, Peyton Siekierski, Craig A. Erickson, Ernest V. Pedapati:
AutocleanEEG ICVision: Automated ICA Artifact Classification Using Vision-Language AI. - Julian Brandon, Angus Chadwick, Arthur Pellegrino:
Emergent Riemannian geometry over learning discrete computations on continuous manifolds. - Shantanu Ghosh, Vedant Parthesh Joshi, Rayan Syed, Aya Kassem, Abhishek Varshney, Payel Basak, Weicheng Dai, Judy Wawira Gichoya, Hari M. Trivedi, Imon Banerjee, Shyam Visweswaran, Clare B. Poynton, Kayhan Batmanghelich:
Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting. - Jason Lunder:
Tree Matching Networks for Natural Language Inference: Parameter-Efficient Semantic Understanding via Dependency Parse Trees. - Owen Dugan, Roberto Garcia, Ronald G. Junkins, Jerry W. Liu, Dylan Zinsley, Sabri Eyuboglu, Atri Rudra, Christopher Ré:
Constructing Efficient Fact-Storing MLPs for Transformers. - Hajra Anwar Beg, Baptiste Chopin, Hao Tang, Mohamed Daoudi:
ReactionMamba: Generating Short &Long Human Reaction Sequences. - Bart Jacobs, Márk Széles, Dario Stein:
Compositional Inference for Bayesian Networks and Causality. - Gabriele Formis, Amanda Ericson, Stefan Forsström, Kyi Thar, Gianluca Cena, Stefano Scanzio:
On the Prediction of Wi-Fi Performance through Deep Learning. - Matej Klemen, Tjasa Arcon, Luka Tercon, Marko Robnik-Sikonja, Kaja Dobrovoljc:
Towards Corpus-Grounded Agentic LLMs for Multilingual Grammatical Analysis. - Mohammad Abdollahi, Khandaker Rifah Tasnia, Soumit Kanti Saha, Jinqiu Yang, Song Wang, Hadi Hemmati:
Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution Simulation. - Matt MacDermott, Qiyao Wei, Rada Djoneva, Francis Rhys Ward:
Reasoning Under Pressure: How do Training Incentives Influence Chain-of-Thought Monitorability? - Akhil Rajeev P:
Minimal-Edit Instruction Tuning for Low-Resource Indic GEC. - Stefano Scanzio, Pietro Chiavassa, Gianluca Cena:
Analysis of the operation of a TSN switch and other devices using executable QR codes. - Zirui Wang, Tao Zhang:
DenseScan: Advancing 3D Scene Understanding with 2D Dense Annotation. - Pirzada Suhail, Rehna Afroz, Amit Sethi:
TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection. - Monique Louise Monteiro, George G. Cabral, Adriano Lorena Inácio de Oliveira:
CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization. - Davide Rucci, Sebastian Parfeniuc, Matteo Mordacchini, Emanuele Carlini, Alfredo Cuzzocrea, Patrizio Dazzi:
A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs. - Sai Koneru, Matthias Huck, Jan Niehues:
OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusion. - Yenho Chen, Maxwell A. Xu, James M. Rehg, Christopher J. Rozell:
Self-Supervised Dynamical System Representations for Physiological Time-Series. - Alessio Borgi, Fabrizio Silvestri, Pietro Liò:
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves. - Rohan Goyal, Prahladh Harsha, Mrinal Kumar, Ashutosh Shankar:
Fast list recovery of univariate multiplicity and folded Reed-Solomon codes. - Scotty Black, Christian Darken:
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations. - Shrinivass Arunachalam Balasubramanian:
ng-reactive-lint: Smarter Linting for Angular Apps. - Henry Onyeka, Emmanuel J. Samson, Liang Hong, Md Tariqul Islam, Imtiaz Ahmed, Kamrul Hasan:
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks. - Kunwar Maheep Singh, Jianchun Chen, Vladislav Golyanik, Stephan J. Garbin, Thabo Beeler, Rishabh Dabral, Marc Habermann, Christian Theobalt:
Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views. - Diogo Ferreira, Pedro Ribeiro, André Coelho, Rui Campos:
Design and Evaluation of a Multi-Agent Perception System for Autonomous Flying Networks. - Y. Sungtaek Ju:
Scalable and Interpretable Scientific Discovery via Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN). - Yuzhen Hu, Saurabh Prasad:
UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations. - Maria Teresa Parreira, Ruidong Zhang, Sukruth Gowdru Lingaraju, Alexandra Bremers, Xuanyu Fang, Adolfo G. Ramirez-Aristizabal, Manaswi Saha, Michael Kuniavsky, Cheng Zhang, Wendy Ju:
"Why the face?": Exploring Robot Error Detection Using Instrumented Bystander Reactions. - Zhengda Ma, Abhirup Banerjee:
HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction. - Zhangyong Liang, Zhiping Mao, Xiaofei Zhao:
Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation. - Anab Maulana Barik, Shou Ziyi, Yang Kaiwen, Yang Qi, Shen Xin:
Trification: A Comprehensive Tree-based Strategy Planner and Structural Verification for Fact-Checking. - Jun Wang, Peirong Liu:
USB: Unified Synthetic Brain Framework for Bidirectional Pathology-Healthy Generation and Editing. - Satoshi Kura, Hiroshi Unno:
A Hierarchy of Supermartingales for ω-Regular Verification. - Mohammad M. Maheri, Xavier F. Cadet, Peter Chin, Hamed Haddadi:
Teleportation-Based Defenses for Privacy in Approximate Machine Unlearning. - Venkata Ramana Makkapati, Tulasi Ram Vechalapu, Vinodhini Comandur, Seth Hutchinson:
Dependent Reachable Sets for the Constant Bearing Pursuit Strategy. - Prakrithi Shivaprakash, Diptadhi Mukherjee, Lekhansh Shukla, Animesh Mukherjee, Prabhat Chand, Pratima Murthy:
Lost without translation - Can transformer (language models) understand mood states? - Yi Liu, Yi Wan, Xinyi Liu, Qiong Wu, Panwang Xia, Xuejun Huang, Yongjun Zhang:
HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention. - Jiachen Li, Shihao Li, Dongmei Chen:
Datamodel-Based Data Selection for Nonlinear Data-Enabled Predictive Control. - Meng Li, Yu Zhang, Leshan Li:
The Professional Challenges of Industrial Designer in Industry 4.0. - Sylvain Bodard, Pierre Baudot, Benjamin Renoust, Charles Voyton, Gwendoline De Bie, Ezequiel Geremia, Van-Khoa Le, Danny Francis, Pierre-Henri Siot, Yousra Haddou, Vincent Bobin, Jean-Christophe Brisset, Carey C. Thomson, Valerie Bourdes, Benoit Huet:
Rethinking Lung Cancer Screening: AI Nodule Detection and Diagnosis Outperforms Radiologists, Leading Models, and Standards Beyond Size and Growth. - Yi Fang, Haoran Xu, Jiaxin Han, Sirui Ding, Yizhi Wang, Yue Wang, Xuan Wang:
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models. - Yuzheng Gao, Yuxing Long, Lei Kang, Yuchong Guo, Ziyan Yu, Shangqing Mao, Jiyao Zhang, Ruihai Wu, Dongjiang Li, Hui Shen, Hao Dong:
RealAppliance: Let High-fidelity Appliance Assets Controllable and Workable as Aligned Real Manuals. - Danial Yazdani, Mai Peng, Delaram Yazdani, Shima F. Yazdi, Mohammad Nabi Omidvar, Yuan Sun, Trung Thanh Nguyen, Changhe Li, Xiaodong Li:
PORTAL: Controllable Landscape Generator for Continuous Optimization-Part I: Framework. - Nguyen Ly, Caroline Tatsuoka, Jai Nagaraj, Jacob Levy, Fernando Palafox, David Fridovich-Keil, Hannah Lu:
Data-Driven Modeling and Correction of Vehicle Dynamics. - Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang:
EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education. - Yafei Lyu, Hao Zhou, Lu Zhang, Xu Yang, Zhiyong Liu:
FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting. - Lixing Guo, Tobias Höllerer:
Words into World: A Task-Adaptive Agent for Language-Guided Spatial Retrieval in AR. - Michael Wehar:
Unconditional Time and Space Complexity Lower Bounds for Intersection Non-Emptiness. - González Trigueros Jesús Eduardo, Alonso Sánchez Alejandro, Muñoz Rivera Emilio, Peñarán Prieto Mariana Jaqueline, Mendoza González Camila Natalia:
Challenges of Heterogeneity in Big Data: A Comparative Study of Classification in Large-Scale Structured and Unstructured Domains. - Rui Qian, Haozhi Cao, Tianchen Deng, Tianxin Hu, Weixiang Guo, Shenghai Yuan, Lihua Xie:
TGSFormer: Scalable Temporal Gaussian Splatting for Embodied Semantic Scene Completion. - Shenghong He:
Gradient Inversion in Federated Reinforcement Learning. - Zhengzhuo Xu, Sinan Du, Yiyan Qi, SiwenLu, Chengjin Xu, Chun Yuan, Jian Guo:
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning. - Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu:
Adversarial Signed Graph Learning with Differential Privacy. - Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li:
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation. - Qinyi Cao, Jianan Fan, Weidong Cai:
ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays. - Jungyang Park, Suho Kang, Jaewoo Park, Jaehong Kim, Jaewoo Shin, Seonjoon Park, Youngjae Yu:
Tracing Mathematical Proficiency Through Problem-Solving Processes. - Zhitong Guan, Yi Wang:
Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System. - Alexis de Colnet, Kuldeep S. Meel, Umang Mathur:
Counting and Sampling Traces in Regular Languages. - Shishu pal Singh, Sudeep Kundu:
Finite Difference Method for Global Stabilization of the Viscous Burgers' Equation with Nonlinear Neumann Boundary Feedback Control. - Ruike Hu, Shulei Wu:
RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs. - Shishu pal Singh, Sudeep Kundu:
Finite Element Analysis for the Chafee-Infante Equation Using Distributed Feedback Control. - Shivani Mruthyunjaya, Anandi K. Dutta, Kazi Sifatul Islam:
Introducing AI-Driven IoT Energy Management Framework. - Muhammad Muneeb, David B. Ascher, Ahsan Baidar Bakht:
Comparative Analysis of 47 Context-Based Question Answer Models Across 8 Diverse Datasets. - Jinda Du, Jieji Ren, Qiaojun Yu, Ningbin Zhang, Yu Deng, Xingyu Wei, Yufei Liu, Guoying Gu, Xiangyang Zhu:
MILE: A Mechanically Isomorphic Exoskeleton Data Collection System with Fingertip Visuotactile Sensing for Dexterous Manipulation. - Shaira Sadia Karim, Abrar Mahmud Rahim, Lamia Alam, Ishmam Tashdeed, Lutfun Nahar Lota, Md. Abu Raihan M. Kamal, Md. Azam Hossain:
Progressive Code Integration for Abstractive Bug Report Summarization. - Qianjie Wu, Tianyi Zhang, Hong Jia, Simon D'Alfonso:
Behavioral Indicators of Loneliness: Predicting University Students' Loneliness Scores from Smartphone Sensing Data. - Chenqi Zhu, Levi Burner, Yiannis Aloimonos:
Odometry Without Correspondence from Inertially Constrained Ruled Surfaces. - Ashish Thanga, Vibhu Dixit, Abhilash Reddy Shankarampeta, Vivek Gupta:
Evidence-Guided Schema Normalization for Temporal Tabular Reasoning. - Yefeng Wu, Yuchen Song, Yecheng Zhao, Ling Wu, Shan Wan:
CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System. - Daud Waqas, Aaryamaan Golthi, Erika Hayashida, Huanzhi Mao:
Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling Agents. - Ayush Maheshwari, Kaushal Sharma, Vivek Patel, Aditya Maheshwari:
IndicParam: Benchmark to evaluate LLMs on low-resource Indic Languages. - Takuto Ando, Yu Eto, Ayumu Takeuchi, Yasuhiko Nakashima:
Efficient Kernel Mapping and Comprehensive System Evaluation of LLM Acceleration on a CGLA. - Mengxue Hu, Yunfeng Diao, Changtao Miao, Jianshu Li, Zhe Li, Joey Tianyi Zhou:
MVAD : A Comprehensive Multimodal Video-Audio Dataset for AIGC Detection. - Zhiyuan Wang, Shengcai Liu, Shaofeng Zhang, Ke Tang:
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization. - Haizheng Li, Lei Guo:
Adaptive prediction theory combining offline and online learning. - Zhongqi Wang, Jie Zhang, Shiguang Shan, Xilin Chen:
Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models. - Naifan Zhang, Ruihan Sun, Ruixi Su, Shiqi Ma, Shiya Zhang, Xianna Weng, Xiaofan Zhang, Yuhan Zhan, Yuyang Xu, Zhaohan Chen, Zhengyuan Pan, Ziyi Song:
Echo-N1: Affective RL Frontier. - Junqiao Fan, Haocong Rao, Jiarui Zhang, Jianfei Yang, Lihua Xie:
mmPred: Radar-based Human Motion Prediction in the Dark. - Zhuang Li, Wenyi Zhang:
ORBGRAND Is Exactly Capacity-achieving via Rank Companding. - Sitong Fang, Shiyi Hou, Kaile Wang, Boyuan Chen, Donghai Hong, Jiayi Zhou, Josef Dai, Yaodong Yang, Jiaming Ji:
Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models. - Na Li, Yuchen Jiao, Hangguan Shan, Shefeng Yan:
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning. - Na Li, Zewu Zheng, Wei Ni, Hangguan Shan, Wenjie Zhang, Xinyu Li:
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning. - Junqiao Fan, Pengfei Liu, Haocong Rao:
SMamDiff: Spatial Mamba for Stochastic Human Motion Prediction. - Na Li, Hangguan Shan, Wei Ni, Wenjie Zhang, Xinyu Li, Yamin Wang:
Learning Causal States Under Partial Observability and Perturbation. - Vsevolod Kovalev, Parteek Kumar:
CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA. - Jianhong Han, Yupei Wang, Yuan Zhang, Liang Chen:
MM-DETR: An Efficient Multimodal Detection Transformer with Mamba-Driven Dual-Granularity Fusion and Frequency-Aware Modality Adapters. - Andrey Gizdov, Andrea Procopio, Yichen Li, Daniel Harari, Tomer D. Ullman:
Towards aligned body representations in vision models. - Wenshuo Wang, Yaomin Shen, Yingjie Tan, Yihao Chen:
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting. - Aparajitha Allamraju, Maitreya Prafulla Chitale, Hiranmai Sri Adibhatla, Rahul Mishra, Manish Shrivastava:
Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation. - Jian Zhu:
THCRL: Trusted Hierarchical Contrastive Representation Learning for Multi-View Clustering. - Wenshuo Chen, Haosen Li, Shaofeng Liang, Lei Wang, Haozhe Jia, Kaishen Yuan, Jieming Wu, Bowen Tian, Yutao Yue:
POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models. - Zheqi Hu, Yiwen Hu, Hanwu Li:
Multi-Task Temporal Fusion Transformer for Joint Sales and Inventory Forecasting in Amazon E-Commerce Supply Chain. - Swadesh Sistla, Max Kleiman-Weiner:
Evaluating LLMs in Open-Source Games. - Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, Mingle Zhao, Shuai Wang, Wei Sui, Fei Gao, Yik-Chung Wu, Cheng-Zhong Xu:
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments. - Yuexin Xiang, SM Mahir Shazeed Rish, Qishuang Fu, Yuquan Li, Qin Wang, Tsz Hon Yuen, Jiangshan Yu:
Measuring Memecoin Fragility. - Nikit Phadke:
The Information Theory of Similarity. - Mingwei Liu, Zheng Pei, Yanlin Wang, Zihao Wang, Zikang Li, Enci Lin, Xin Peng, Zibin Zheng:
Framework-Aware Code Generation with API Knowledge Graph-Constructed Data: A Study on HarmonyOS. - Dong Li, Hualiang Lin, JiaYu Li:
Pore-scale Image Patch Dataset and A Comparative Evaluation of Pore-scale Facial Features. - Jianhai Su, Jinzhu Luo, Qi Zhang:
An Empirical Study on the Effectiveness of Incorporating Offline RL As Online RL Subroutines. - Shitong Luo, Connor W. Coley:
Efficient and Programmable Exploration of Synthesizable Chemical Space. - Louis Geist, Loïc Landrieu, Damien Robert:
EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation. - Kaihang Pan, Weile Chen, Haiyi Qiu, Qifan Yu, Wendong Bu, Zehan Wang, Yun Zhu, Juncheng Li, Siliang Tang:
WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing. - Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics. - Nuo Chen, Hanpei Fang, Jiqun Liu, Wilson Wei, Tetsuya Sakai, Xiao-Ming Wu:
Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Infusing. - Zhikang Chen, Sen Cui, Deheng Ye, Min Zhang, Gang Niu, Yu Zhang, Masashi Sugiyama, Tingting Zhu:
From Coefficients to Directions: Rethinking Model Merging with Directional Alignment. - Damian Heywood, Joseph Andrew Carrier, Kyu-Hong Hwang:
A Taxonomy of Errors in English as she is spoke: Toward an AI-Based Method of Error Analysis for EFL Writing Instruction. - Ganghui Cao, Xunyuan Yin:
Distributed Observer and Controller Design for Linear Systems: A Separation-Based Approach. - Jiazhen Liu, Mingkuan Feng, Long Chen:
Better, Stronger, Faster: Tackling the Trilemma in MLLM-based Segmentation with Simultaneous Textual Mask Prediction. - Andrea Procopio, Marco Esposito, Sara Raggiunto, Andrey Gizdov, Alberto Belli, Paola Pierleoni:
Time-Series at the Edge: Tiny Separable CNNs for Wearable Gait Detection and Optimal Sensor Placement. - Bingzheng Xia, Zujie Ren, Kuang Ma, Xiaoqian Li, Wenda Li, Shuibing He:
Heimdall++: Optimizing GPU Utilization and Pipeline Parallelism for Efficient Single-Pulse Detection. - Xinkui Zhao, Yifan Zhang, Haidan Zhao, Hao Zhang, Qingyu Ma, Lufei Zhang, Guanjie Cheng, Shuiguang Deng, Jianwei Yin, Zuoning Chen:
TenonOS: A Self-Generating LibOS-on-LibOS Framework for Time-Critical Embedded Operating Systems. - Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Xiaobing Yu, Yu Zhong, Shangqi Deng, Ufaq Khan, Jianghao Wu, Xiaofeng Liu, Imran Razzak, Xiaojun Chang, Yutong Xie:
SelfAI: Building a Self-Training AI System with LLM Agents. - Pengyu Zeng, Yuqin Dai, Jun Yin, Jing Zhong, Ziyang Han, Chaoyang Shi, ZhanXiang Jin, Maowei Jiang, Yuxing Han, Shuai Lu:
GreenPlanner: Practical Floorplan Layout Generation via an Energy-Aware and Function-Feasible Generative Framework. - Lingdong Wang, Guan-Ming Su, Divya Kothandaraman, Tsung-Wei Huang, Mohammad Hajiesmaili, Ramesh K. Sitaraman:
Low-Bitrate Video Compression through Semantic-Conditioned Diffusion. - Hongzong Li, Luwei Liao, Xiangguang Dai, Yuming Feng, Rong Feng, Shiqin Tang:
Balancing Efficiency and Fairness: An Iterative Exchange Framework for Multi-UAV Cooperative Path Planning. - Jiawei Chen, Yang Yang, Chao Yu, Yu Tian, Zhi Cao, Linghao Li, Hang Su, Zhaoxia Yin:
Red Teaming Large Reasoning Models. - Ji Gan, Lingxu Chen, Jiaxu Leng, Xinbo Gao:
SplatFont3D: Structure-Aware Text-to-3D Artistic Font Generation with Part-Level Style Control. - Haney Kang, Eduard Marin, Myoungsung You, Diego Perino, Seungwon Shin, Jinwoo Kim:
BEACON: Automatic Container Policy Generation using Environment-aware Dynamic Analysis. - Jiacheng Guo, Suozhi Huang, Zixin Yao, Yifan Zhang, Yifu Lu, Jiashuo Liu, Zihao Li, Nicholas Deng, Qixin Xiao, Jia Tian, Kanghong Zhan, Tianyi Li, Xiaochen Liu, Jason Ge, Chaoyang He, Kaixuan Huang, Lin Yang, Wenhao Huang, Mengdi Wang:
CryptoBench: A Dynamic Benchmark for Expert-Level Evaluation of LLM Agents in Cryptocurrency. - Sung Park:
Significant Other AI: Identity, Memory, and Emotional Regulation as Long-Term Relational Intelligence. - Jonas D. Rockbach, Sven Fuchs, Maren Bennewitz:
An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence. - Mulin Tian, Ajitesh Srivastava:
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors. - Yingxuan You, Chen Zhao, Hantao Zhang, Mingda Xu, Pascal Fua:
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design. - Akari Ishida, Manabu Machida:
Iterative inversion schemes for the Born series and the reduced inverse Born series. - Nthenya Kyatha, Jay Taneja:
Recovering Origin Destination Flows from Bus CCTV: Early Results from Nairobi and Kigali. - Minh-Quan Le, Yuanzhi Zhu, Vicky Kalogeiton, Dimitris Samaras:
What about gravity in video generation? Post-Training Newton's Laws with Verifiable Rewards. - Yuchen Shi, Jihong Wang, Jiwei Zhang:
Asymptotic Compatibility of the Approximate-Ball Finite Element Method for 2D Nonlocal Poisson Problem with Neumann Boundary Conditions. - Mengting Yu, Shuiying Xiang, Changjian Xie, Yonghang Chen, Haowen Zhao, Xingxing Guo, Yahui Zhang, Yanan Han, Yue Hao:
Hardware-Software Collaborative Computing of Photonic Spiking Reinforcement Learning for Robotic Continuous Control. - Jiachuan Peng, Kyle Lam, Jianing Qiu:
Recognizing Pneumonia in Real-World Chest X-rays with a Classifier Trained with Images Synthetically Generated by Nano Banana. - Benjamin D. Ballyk, Ankit Gupta, Sujay Konda, Kavitha Subramanian, Christopher Landon, Ahmed Ammar Naseer, Georg Maierhofer, Sumanth Swaminathan, Vasudevan Venkateshwaran:
Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease. - Binghui Wu, Dinil Mon Divakaran, Levente Csikor, Mohan Gurusamy:
RECTor: Robust and Efficient Correlation Attack on Tor. - Myriam Nonaka, F. Javier Marín-Rodríguez, Alexander Jiricny, Miguel Romance, Regino Criado, Sergio Iglesias Perez, Alberto Partida:
Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science. - Hang Xu, Linjiang Huang, Feng Zhao:
FR-TTS: Test-Time Scaling for NTP-based Image Generation with Effective Filling-based Reward Signal. - Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang:
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. - Amogh K. M, Sunita M. S:
A Novel 8T SRAM-Based In-Memory Computing Architecture for MAC-Derived Logical Functions. - Amit Kumar Gupta, Farhan Sheth, Hammad Shaikh, Dheeraj Kumar, Angkul Puniya, Deepak Panwar, Sandeep Chaurasia, Priya Mathur:
RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications. - Siyu Wang, Haitao Li, Donglai Zhu:
STCTS: Generative Semantic Compression for Ultra-Low Bitrate Speech via Explicit Text-Prosody-Timbre Decomposition. - Arad Firouzkouhi, Omid Mirzaeedodangeh, Lars Lindemann:
Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction. - Guanyu Hu, Tangzheng Lian, Dimitrios Kollias, Oya Çeliktutan, Xinyu Yang:
CausalAffect: Causal Discovery for Facial Affective Understanding. - Jan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid, Gjergji Kasneci:
Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency. - Dnyandeep Mandaokar, Bernhard Rinner:
Distributionally Robust Acceleration Control Barrier Filter for Efficient UAV Obstacle Avoidance. - Alexandra Bratanova, Claire M. Mason, David Evans, Emma Schleiger, Einat Grimberg, Gavin Walker, Hien Pham, Keeley Bulled:
Truck drivers and automation: A methodology for identifying and supporting workforce transition in the Australian road freight sector. - Yang Xiao, Chunpu Xu, Ruifeng Yuan, Jiashuo Wang, Wenjie Li, Pengfei Liu:
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling. - Guanyu Hu, Tangzheng Lian, Na Yan, Dimitrios Kollias, Xinyu Yang, Oya Çeliktutan, Siyang Song, Zeyu Fu:
FairMT: Fairness for Heterogeneous Multi-Task Learning. - Jinhao Zhang, Wenlong Xia, Zhexuan Zhou, Youmin Gong, Jie Mei:
LAP: Fast LAtent Diffusion Planner with Fine-Grained Feature Distillation for Autonomous Driving. - Junyan Ye, Leiqi Zhu, Yuncheng Guo, Dongzhi Jiang, Zilong Huang, Yifan Zhang, Zhiyuan Yan, Haohuan Fu, Conghui He, Weijia Li:
RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards. - Xin Gu, Congcong Li, Xinyao Wang, Dexiang Hong, Libo Zhang, Tiejian Luo, Longyin Wen, Heng Fan:
Structured Context Learning for Generic Event Boundary Detection. - Yuta Kobayashi, Vincent Jeanselme, Shalmali Joshi:
Mind the data gap: Missingness Still Shapes Large Language Model Prognoses. - Liang Feng Zhang:
A Unified Framework for Constructing Information-Theoretic Private Information Retrieval. - Thomas Krug, Fabian Raisch, Dominik Aimer, Markus Wirnsberger, Ferdinand Sigg, Felix Koch, Benjamin Schäfer, Benjamin Tischler:
A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research. - Yuhao Gu, Zhongchun Zheng, Nong Xiao, Yutong Lu, Xianwei Zhang:
Partial Cross-Compilation and Mixed Execution for Accelerating Dynamic Binary Translation. - Jingyu Guo, Emir Konuk, Fredrik Strand, Christos Matsoukas, Kevin Smith:
Learning What Helps: Task-Aligned Context Selection for Vision Tasks. - Jiaxun Zhang, Qian Xu, Zhenning Li, Cheng-Zhong Xu, Keqiang Li:
Cooperative Safety Intelligence in V2X-Enabled Transportation: A Survey. - Yule Han, Kezhi Wang, Kun Yang:
Smart-TCP: An Agentic AI-based Autonomous and Adaptive TCP Protocol. - Boshi Tang, Henry Zheng, Rui Huang, Gao Huang:
CC-FMO: Camera-Conditioned Zero-Shot Single Image to 3D Scene Generation with Foundation Model Orchestration. - Diego A. B. Moreira, Alef I. Ferreira, Jhessica Silva, Gabriel Oliveira dos Santos, Gustavo Bonil, João Medrado Gondim, Viviane Bonadia dos Santos, Helena Almeida Maia, Simone Tiemi Hashiguti, Nádia Félix F. da Silva, Carolina Scarton, Hélio Pedrini, Sandra Avila:
CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning. - Yuepeng Sheng, Yuwei Huang, Shuman Liu, Haibo Zhang, Anxiang Zeng:
ESPO: Entropy Importance Sampling Policy Optimization. - Samuel Graepler, Benjamin Monmege, Jean-Marc Talbot:
Reasoning about Quality in Hyperproperties. - Mengqi Liao, Lu Wang, Chaoyun Zhang, Zekai Shen, Xiaowei Mao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Huaiyu Wan:
G-KV: Decoding-Time KV Cache Eviction with Global Attention. - Md Rawha Siddiqi Riad, Md Manzurul Hasan:
Expected Cost Analysis of Online Facility Assignment on Regular Polygons. - Shuli Chen, Marrten V. de Hoop, Youjun Deng, Ching-Lung Lin, Gen Nakamura:
Inverse spectral problem for glassy state relaxation approximated by Prony series. - Sumita Majhi, Kaushal Shelke, Pinaki Mitra, Ujjwal Biswas:
Improving Channel Estimation Through Gold Sequences. - Xun Shao, Ryuuto Shimizu, Zhi Liu, Kaoru Ota, Mianxiong Dong:
Truthful and Trustworthy IoT AI Agents via Immediate-Penalty Enforcement under Approximate VCG Mechanisms. - Tanaka Nobuaki:
Terrain Sensing with Smartphone Structured Light: 2D Dynamic Time Warping for Grid Pattern Matching. - Cem Rifki Aydin:
Developing a Comprehensive Framework for Sentiment Analysis in Turkish. - Manusha Karunathilaka, Songheng Zhang, Anthony Tang, Kotaro Hara, Jiannan Li, Yong Wang:
Chameleon: Automated Color Palette Adaptation for Dark Mode Data Visualizations. - Juan A. Wibowo, George C. Polyzos:
Toward a Safe Internet of Agents. - Sabrina Islam, Md. Atiqur Rahman, Md. Bakhtiar Hasan, Md. Hasanul Kabir:
Rep3Net: An Approach Exploiting Multimodal Representation for Molecular Bioactivity Prediction. - Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu:
Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. - Isara Liyanage, Uthayasanker Thayasivam:
Pushing the Boundaries of Interpretability: Incremental Enhancements to the Explainable Boosting Machine. - Saeed Mashdour, André R. Flores, Rodrigo C. de Lamare:
Robust Precoding for Resilient Cell-Free Networks. - Ye Pang:
Image Generation as a Visual Planner for Robotic Manipulation. - Zeyuan An, Yanghang Xiao, Zhiying Leng, Frederick W. B. Li, Xiaohui Liang:
Cross-Temporal 3D Gaussian Splatting for Sparse-View Guided Scene Update. - Aaryan Gupta, Rishi Saket, Aravindan Raghuveer:
Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets. - Berk Göksenin Tan, Oguzhan Özcan:
Speculating on the Role of Media Architecture in Post-disaster Rebuilding and Recovery: Insights from Architects and Interaction Designers. - Yongkang Hu, Yu Cheng, Yushuo Zhang, Yuan Xie, Zhaoxia Yin:
SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning. - Soham Ghosh, Arpit Bohra, Karthik Saikumar:
From Range Loss to Recovery - Cold Weather Challenges and Design Strategies for Commercial Electric Vehicle Fleets. - Akrati Saxena, Harshith Kumar Yadav, Bart Rutten, Shashi Shekhar Jha:
DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning. - Joud El-Shawa, Elham Bagheri, Sedef Akinli Koçak, Yalda Mohsenzadeh:
A Graph Neural Network Approach for Localized and High-Resolution Temperature Forecasting. - Sandika Biswas, Qianyi Wu, Biplab Banerjee, Hamid Rezatofighi:
Asset-Driven Sematic Reconstruction of Dynamic Scene with Multi-Human-Object Interactions. - Subramanyam Sahoo, Vinija Jain, Saanidhya Vats, Siddharth Mohapatra, Rui Min, Aman Chadha, Divya Chaudhary:
Catch Me If You Can: How Smaller Reasoning Models Pretend to Reason with Mathematical Fidelity. - Bohan Zhang, Michael Chen, A. Pavan, N. V. Vinodchandran, Lin F. Yang, Ruosong Wang:
List Replicable Reinforcement Learning. - Sina Salimian, Gias Uddin, Sumon Biswas, Henry Leung:
Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations. - Haomiao Chen, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski:
NeuroVolve: Evolving Visual Stimuli toward Programmable Neural Objectives. - Jinyu Cai, Jialong Li, Nianyu Li, Zhenyu Mao, Mingyue Zhang, Kenji Tei:
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models. - S. M. Asiful Islam Saky, Md Rashidul Islam, Md Saiful Arefin, Shahaba Alam:
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals. - Naman Choudhary, Vedant Singh, Ameet Talwalkar, Nicholas Matthew Boffi, Mikhail Khodak, Tanya Marwah:
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers. - Nicolas Gorlo, Lukas Schmid, Luca Carlone:
Describe Anything Anywhere At Any Moment. - Tarun Chintada, Uday Kiran Cheera:
Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization. - Mohammed Mohiuddin, Syed Mohammod Minhaz Hossain, Sumaiya Khanam, Prionkar Barua, Aparup Barua, MD Tamim Hossain:
Integrating Skeleton Based Representations for Robust Yoga Pose Classification Using Deep Learning Models. - Miroslav Blsták:
Slovak Conceptual Dictionary. - Giovanni Conforti, Alain Durmus, Le-Tuyet-Nhi Pham, Gaël Raoul:
Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics. - Yue Jiang, Haiwei Xue, Minghao Han, Mingcheng Li, Xiaolu Hou, Dingkang Yang, Lihua Zhang, Xu Zheng:
SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension. - Michael R. Doane:
Statistical NLP for Optimization of Clinical Trial Success Prediction in Pharmaceutical R&D. - Alla Chepurova, Aydar Bulatov, Yuri Kuratov, Mikhail Burtsev:
Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models. - Weihua Xiao, Zeng Wang, Minghao Shao, Raghu Vamshi Hemadri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel, Siddharth Garg, Ramesh Karri:
TrojanLoC: LLM-based Framework for RTL Trojan Localization. - Mihir Chauhan, Damon Conover, Aniket Bera:
HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks. - Malepati Bala Siva Sai Akhil:
IslandRun: Privacy-Aware Multi-Objective Orchestration for Distributed AI Inference. - Jiahao Tian, Zhenkai Wang:
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems. - Thuraya Alzubaidi, Farhad R. Nezami, Muzammil Behzad:
Scaling Down to Scale Up: Towards Operationally-Efficient and Deployable Clinical Models via Cross-Modal Low-Rank Adaptation for Medical Vision-Language Models. - Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May D. Wang:
Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. - Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei Clifton, Fenglin Liu, David A. Clifton:
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization. - Wanle Zhong, Keman Huang, Xiaoyong Du:
AgentODRL: A Large Language Model-based Multi-agent System for ODRL Generation. - Aurélien Delage, Romaric Gaudel:
Efficient Matroid Bandit Linear Optimization Leveraging Unimodality. - Logan Nye:
On the Holographic Geometry of Deterministic Computation. - Franck Binard, Vanja Kljajevic:
Prism: A Minimal Compositional Metalanguage for Specifying Agent Behavior. - Siddhant Karki:
Generalized Graph Transformer Variational Autoencoder. - Goutham Nalagatla:
Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems. - Wesley H. Holliday, Milan Mossé, Chase Norman, Eric Pacuit, Cynthia Wang:
Stable Voting and the Splitting of Cycles. - Omer Jauhar Khan:
ART: Adaptive Response Tuning Framework - A Multi-Agent Tournament-Based Approach to LLM Response Optimization. - Goutham Nalagatla, Shreyas Grandhe:
Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies. - Arnesh Batra, Dev Sharma, Krish Thukral, Ruhani Bhatia, Naman Batra, Aditya Gautam:
Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learning. - Pablo Alvarez Romeo, Mehmet Ercan Altinsoy:
KinesCeTI: A Modular and Size-Adaptable Force Feedback Glove with Interchangeable Actuation for the Index and Thumb. - Basilis Mamalis, Marios Perlitis:
Steady and Energy-Efficient Multi-Hop Clustering for Flying Ad-Hoc Networks (FANETs). - Tzu-I Liao, Mahmoud Fakhry, Jibin Yesudas Varghese:
Automatic Pith Detection in Tree Cross-Section Images Using Deep Learning. - Kim Gerard A. Villanueva, Priyanka Kumar:
XAI-Driven Skin Disease Classification: Leveraging GANs to Augment ResNet-50 Performance. - Sahand Kiani, Constantino M. Lagoa:
Data-Driven Computation of Polytopic Invariant Sets for Noisy Nonlinear Systems. - Zhiming Lian:
Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model. - William Swartworth, David P. Woodruff, Samson Zhou:
Perfect Lp Sampling with Polylogarithmic Update Time. - Archisman Ghosh:
Extended Abstract: Synthesizable Low-overhead Circuit-level Countermeasures and Pro-Active Detection Techniques for Power and EM SCA. - Timur Sattarov, Marco Schreyer, Damian Borth:
Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation. - Mahmoud El Hussieni:
Doppler-Enhanced Deep Learning: Improving Thyroid Nodule Segmentation with YOLOv5 Instance Segmentation. - Razieh Ghaedi, AmirReza BabaAhmadi, Reyer Zwiggelaar, Xinqi Fan, Nashid Alam:
Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition. - Dominic Groß:
Constraint-Aware Grid-Forming Control for Current Limiting. - Boyd Franken, Hong-Hanh Nguyen-Le, Nhien-An Le-Khac:
Blockchain-based vs. SQL Database Systems for Digital Twin Evidence Management: A Comparative Forensic Analysis. - Shanhui Liu, Rui Xu, Yunke Wang:
MambaScope: Coarse-to-Fine Scoping for Efficient Vision Mamba. - Mohammed Latif Siddiq, Arvin Islam-Gomes, Natalie Sekerak, Joanna C. S. Santos:
Large Language Models for Software Engineering: A Reproducibility Crisis. - Jan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci:
Sycophancy Claims about Language Models: The Missing Human-in-the-Loop. - Arthur F. Ramos, Tiago M. L. de Veras, Ruy J. G. B. de Queiroz, Anjolina Grisi de Oliveira:
Computational Paths Form a Weak ω-Groupoid. - Anik Sarker, Alan T. Asbeck:
Fast, Robust, Permutation-and-Sign Invariant SO(3) Pattern Alignment. - Christian Mancas, Diana Christina Mancas:
MatBase algorithm for translating (E)MDM schemes into E-R data models. - Tanmay Agrawal:
Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs. - Harun Tolasa, Gorkem Gemalmaz, Volkan Patoglu:
Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering. - Chelsea Drum, James G. Nagy, Lucas Onisk:
Projected iterated Tikhonov regularization in low precision. - He-Yen Hsieh, Hong Wang, H. T. Kung:
EDIT: Early Diffusion Inference Termination for dLLMs Based on Dynamics of Training Gradients. - Yaswanth Chittepu, Raghavendra Addanki, Tung Mai, Anup B. Rao, Branislav Kveton:
ML-Tool-Bench: Tool-Augmented Planning for ML Tasks. - Breanna E. Green, Ashley L. Shea, Pengfei Zhao, Drew B. Margolin:
A Comparison of Human and ChatGPT Classification Performance on Complex Social Media Data. - Kiri L. Wagstaff:
Realistic Handwritten Multi-Digit Writer (MDW) Number Recognition Challenges. - Dong In Lee, Hyungjun Doh, Seunggeun Chi, Runlin Duan, Sangpil Kim, Karthik Ramani:
Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer. - Yi Zhang, Yiwen Zhang, Yu Wang, Tong Chen, Hongzhi Yin:
ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation. - Wu Yonggang:
Model of human cognition. - Yoichiro Mori, Chanoknun Sintavanuruk, Truong-Son P. Van:
Error analysis of an acceleration corrected diffusion approximation of Langevin dynamics with background flow. - Anish Lakkapragada:
Using physics-inspired Singular Learning Theory to understand grokking & other phase transitions in modern neural networks. - Dingqiang Ye, Chao Fan, Kartik Narayan, Bingzhe Wu, Chengwen Luo, Jianqiang Li, Vishal M. Patel:
Silhouette-based Gait Foundation Model. - Mengzhu Xu, Hanzhi Liu, Ningkang Peng, Qianyu Chen, Canran Xiao:
Affordance-First Decomposition for Continual Learning in Video-Language Understanding. - Bahrul Ilmi Nasution, Floor Eijkelboom, Mark J. Elliot, Richard Allmendinger, Christian A. Naesseth:
Flow Matching for Tabular Data Synthesis. - Ka Chung Lai, Ahmet Cetinkaya:
CAR-Net: A Cascade Refinement Network for Rotational Motion Deblurring under Angle Information Uncertainty. - Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee:
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation. - Chengzhi Yu, Yifan Xu, Yifan Chen, Wenyi Zhang:
Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation. - Ming-Hsiu Wu, Ziqian Xie, Shuiwang Ji, Degui Zhi:
Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset. - Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang:
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF. - Loc X. Nguyen, Ji Su Yoon, Huy Q. Le, Yu Qiao, Avi Deb Raha, Eui-Nam Huh, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong:
Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation. - Zhuohua Liu, Kaiqi Huang, Qinxin Mei, Yuanqi Hu, Wei W. Xing:
Exploiting Function-Family Structure in Analog Circuit Optimization. - Haoyu Shen, Weimin Lyu, Haotian Xu, Tengfei Ma:
Concept-Guided Backdoor Attack on Vision Language Models. - Emmanuella Avwerosuoghene Oghenekaro:
Deep Learning-Based Computer Vision Models for Early Cancer Detection Using Multimodal Medical Imaging and Radiogenomic Integration Frameworks. - Fanlong Zeng, Wensheng Gan:
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift. - Deliang Wang, Peng Liu, Yan Ma, Rongkai Zhuang, Lajiao Chen, Bing Li, Yi Zeng:
VFM-ISRefiner: Towards Better Adapting Vision Foundation Models for Interactive Segmentation of Remote Sensing Images. - Bohan Zhao, Zane Cao, Yongchao He:
SIMPLE: Disaggregating Sampling from GPU Inference into a Decision Plane for Faster Distributed LLM Serving. - Jiaming Xu, Jiayi Pan, Hanzhen Wang, Yongkang Zhou, Jiancai Ye, Yu Wang, Guohao Dai:
SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs. - Xingtai Gui, Jianbo Zhao, Wencheng Han, Jikai Wang, Jiahao Gong, Feiyang Tan, Cheng-Zhong Xu, Jianbing Shen:
TrajDiff: End-to-end Autonomous Driving without Perception Annotation. - Lingling Fu:
Upcycled and Merged MoE Reward Model for Mitigating Reward Hacking. - Xinyue Wang, Yuheng Jia, Hui Liu, Junhui Hou:
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering. - Sizhe Wei, Xulin Chen, Fengze Xie, Garrett Ethan Katz, Zhenyu Gan, Lu Gan:
MS-PPO: Morphological-Symmetry-Equivariant Policy for Legged Robot Locomotion. - Zach Lawrence, Jessica Yao, Chris Qin:
Deep Learning for Modeling and Dispatching Hybrid Wind Farm Power Generation. - Yuxiang Chen, Zuohan Wu, Ziwei Wang, Xiangning Yu, Xujia Li, Linyi Yang, Mengyue Yang, Jun Wang, Lei Chen:
Probing the "Psyche" of Large Reasoning Models: Understanding Through a Human Lens. - Ho-Lin Chen, Pin-Ju Huang:
Price of Anarchy of Multi-Stage Machine Scheduling Games. - Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk:
REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories. - Qingwen Yang, Feiyu Qu, Tiezheng Guo, Yanyi Liu, Yingyou Wen:
Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach. - Bojing Li, Duo Zhong, Dharani Nadendla, Gabriel Terceros, Prajna Bhandar, Raguvir S, Charles Nicholas:
MASCOT: Analyzing Malware Evolution Through A Well-Curated Source Code Dataset. - K. J. Kevin Feng, Tae Soo Kim, Rock Yuren Pang, Faria Huq, Tal August, Amy X. Zhang:
On the Regulatory Potential of User Interfaces for AI Agent Governance. - Qiang Lyu, Zicong Chen, Chongxiao Wang, Haolin Shi, Shibo Gao, Ran Piao, Youwei Zeng, Jianlou Si, Fei Ding, Jing Li, Chun Pong Lau, Weiqiang Wang:
Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards. - Zhengxin Chen, Xiaohai He, Tingrong Zhang, Shuhua Xiong, Chao Ren:
Joint Multi-scale Gated Transformer and Prior-guided Convolutional Network for Learned Image Compression. - Md. Abdullah-Al-Kafi, Sumit Kumar Banshal:
FastPOS: Language-Agnostic Scalable POS Tagging Framework Low-Resource Use Case. - Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen:
Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization. - Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao:
Charts Are Not Images: On the Challenges of Scientific Chart Editing. - Ruihan Chen, Qiming Li, Xiaocheng Feng, Xiaoliang Yang, Weihong Zhong, Yuxuan Gu, Zekun Zhou, Bing Qin:
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents. - Zongjian Han, Yiran Liang, Ruiwen Wang, Yiwei Luo, Yilin Huang, Xiaotong Song, Dongqing Wei:
Preventing Model Collapse via Contraction-Conditioned Neural Filters. - Yushen Wang, Weidong Mei, Xin Wei, Ya Fei Wu, Zhi Chen, Boyu Ning:
Movable Antenna Empowered Near-Field Sensing via Antenna Position Optimization. - Jiachen Li, Shihao Li, Xu Duan, Dongmei Chen:
DM-MPPI: Datamodel for Efficient and Safe Model Path Integral Control. - Subarna Khanra, Vijay Kumar Kukreja, Indu Bala:
Forecasting India's Demographic Transition Under Fertility Policy Scenarios Using hybrid LSTM-PINN Model. - Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu, Haozhe Lou, Emily Yue-Ting Jia, Jernej Barbic, Jiajun Wu, Yue Wang:
Seeing the Wind from a Falling Leaf. - Robin Yadav, Shuo Xie, Tianhao Wang, Zhiyuan Li:
Provable Benefit of Sign Descent: A Minimal Model Under Heavy-Tailed Class Imbalance. - Haojie Ji, Te Hu, Haowen Li, Long Jin, Chongshi Xin, Yuchi Yao, Jiarui Xiao:
The Outline of Deception: Physical Adversarial Attacks on Traffic Signs Using Edge Patches. - Zenghui Zhou, Yuechen Li, Yi Cai, Jinlong Wen, Xiaohan Yu, Zheng Zheng, Beibei Yin:
Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit. - Aditya Rallapalli, Suraj Kumar, Rijesh MP, C. K. Koteswar Rao, Bharat Kumar G. V. P.:
Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission. - Hamed Razavi:
Text Mining Analysis of Symptom Patterns in Medical Chatbot Conversations. - Xingchen Zhou, Nan Li, Peng Jia, Yingfeng Liu, Furen Deng, Shuanghao Shu, Ying Li, Liang Cao, Huanyuan Shan, Ayodeji Ibitoye:
AI Agent for Source Finding by SoFiA-2 for SKA-SDC2. - Jiasi Zhou, Chintha Tellambura, Geoffrey Ye Li:
Rate-Splitting Multiple Access for Secure Near-Field Integrated Sensing and Communication. - Xiaoshan Wu, Yifei Yu, Xiaoyang Lyu, Yihua Huang, Bo Wang, Baoheng Zhang, Zhongrui Wang, Xiaojuan Qi:
EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes. - Hyunseok Ryu, Wonjune Shin, Hyun Park:
SHRAG: AFrameworkfor Combining Human-Inspired Search with RAG. - Toshiki Katsube, Taiga Fukuhara, Kenichiro Ando, Yusuke Mukuta, Kohei Uehara, Tatsuya Harada:
DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering. - Jiasi Zhou, Huiyun Xia, Chuan Wu, Chintha Tellambura:
Hybrid Beamfocusing Design for RSMA-Enhanced Near-Field Secure Communications. - Ruijia Liu, Ancheng Hou, Shaoyuan Li, Xiang Yin:
SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning. - Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka, Hakaru Tamukoh:
Sign Language Recognition using Bidirectional Reservoir Computing. - Yue Wang, Qizhou Wang, Zizhuo Zhang, Ang Li, Gang Niu, Bo Han, Masashi Sugiyama:
What Is Preference Optimization Doing, How and Why? - Libo Wang:
Sigma: The Key for Vision-Language-Action Models toward Telepathic Alignment. - Xiaodong Cai, Hai Lin, Shaoxiong Zhan, Weiqi Luo, Hong-Gee Kim, Hongyan Hao, Yu Yang, Hai-Tao Zheng:
Auxiliary-Hyperparameter-Free Sampling: Entropy Equilibrium for Text Generation. - Jordi Pérez-Guijarro:
Limitations of Using Identical Distributions for Training and Testing When Learning Boolean Functions. - Liyu Zerihun:
Estimating the Effective Rank of Vision Transformers via Low-Rank Factorization. - Bo Guo, Sijia Wen, Yifan Zhao, Jia Li, Zhiming Zheng:
PolarGS: Polarimetric Cues for Ambiguity-Free Gaussian Splatting with Accurate Geometry Recovery. - Jiajian He, Enjie Hu, Shiqi Chen, Tianchen Qiu, Huajun Feng, Zhihai Xu, Yueting Chen:
CircleFlow: Flow-Guided Camera Blur Estimation using a Circle Grid Target. - Nan Sun, Bo Mao, Yongchang Li, Chenxu Wang, Di Guo, Huaping Liu:
Transforming Monolithic Foundation Models into Embodied Multi-Agent Architectures for Human-Robot Collaboration. - Hao Wu, Prateek Saxena:
Bias Injection Attacks on RAG Databases and Sanitization Defenses. - Pengfei Hu, Meng Cao, Yingyao Wang, Yi Wang, Jiahua Dong, Jun Song, Yu Cheng, Bo Zheng, Xiaodan Liang:
Thinking with Drafts: Speculative Temporal Reasoning for Efficient Long Video Understanding. - Yujie Lin, Jiayao Ma, Qingguo Hu, Derek F. Wong, Jinsong Su:
BioPro: On Difference-Aware Gender Fairness for Vision-Language Models. - Saeed Hedayatian, Stefanos Nikolaidis:
Soft Quality-Diversity Optimization. - Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Keze Wang:
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification. - Haoxuan Xu, Yi Liu, Boyuan Jiang, Jinlong Peng, Donghao Luo, Xiaobin Hu, Shuicheng Yan, Haoang Li:
IRPO: Boosting Image Restoration via Post-training GRPO. - Haozhen Gong, Xiaozhong Ji, Yuansen Liu, Wenbin Wu, Xiaoxiao Yan, Jingjing Liu, Kai Wu, Jiazhen Pan, Bailiang Jian, Jiangning Zhang, Xiaobin Hu, Hongwei Bran Li:
Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning. - Michael Kerber, Elena Xinyi Wang:
Computing the Bottleneck Distance between Persistent Homology Transforms. - Md Mehrab Hossain Opi, Sumaiya Khan, Moshammad Farzana Rahman:
Accelerating Bangla NLP Tasks with Automatic Mixed Precision: Resource-Efficient Training Preserving Model Efficacy. - Yuchen Zeng, Shuibai Zhang, Wonjun Kang, Shutong Wu, Lynnix Zou, Ying Fan, Heeju Kim, Ziqian Lin, Jungtaek Kim, Hyung Il Koo, Dimitris Papailiopoulos, Kangwook Lee:
ReJump: A Tree-Jump Representation for Analyzing and Improving LLM Reasoning. - Cheng Zhang, Hanwen Liang, Donny Y. Chen, Qianyi Wu, Konstantinos N. Plataniotis, Camilo Cruz Gambardella, Jianfei Cai:
PanFlow: Decoupled Motion Control for Panoramic Video Generation. - Rupesh Raj Karn, Lakshmi Likhitha Mankali, Zeng Wang, Saideep Sreekumar, Prithwish Basu Roy, Ozgur Sinanoglu, Lilas Alrahis, Johann Knechtel:
Logic Encryption: This Time for Real. - Lin Zhu, Kezhi Wang, Luping Xiang, Kun Yang:
SemAgent: Semantic-Driven Agentic AI Empowered Trajectory Prediction in Vehicular Networks. - Adriel Sosa Marco, John Daniel Kirwan, Alexia Toumpa, Simos Gerasimou:
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows. - Emily Howerton, Justin Lessler:
Assessing model error in counterfactual worlds. - Yukang Lin, Jiahao Shao, Shuoran Jiang, Wentao Zhu, Bingjie Lu, Xiangping Wu, Joanna Siebert, Qingcai Chen:
WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models. - Md. Muzakkir Quamar, Ali Nasir, Sami El-Ferik:
A Novel MDP Decomposition Framework for Scalable UAV Mission Planning in Complex and Uncertain Environments. - Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli, Giuseppe Maria Bifulco, Francesco Paolone, Iulia Brezeanu:
ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI. - Wenzhang Du:
Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks. - Giles Winchester, George Parisis, Luc Berthouze:
FC-ADL: Efficient Microservice Anomaly Detection and Localisation Through Functional Connectivity. - Neeraj Anand, Rishabh Jain, Sohan Patnaik, Balaji Krishnamurthy, Mausoom Sarkar:
AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent. - Yunbo Long, Jiaquan Zhang, Xi Chen, Alexandra Brintrup:
Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy. - Haishan Wang, Mohammad Hassan Vali, Arno Solin:
Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting. - Wenzhang Du:
City-Conditioned Memory for Multi-City Traffic and Mobility Forecasting. - Yandong Sun, Qiang Huang, Ziwei Xu, Yiqun Sun, Yixuan Tang, Anthony K. H. Tung:
One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces. - Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu, Ronnie de Souza Santos, Morakot Choetkiertikul, Amin Milani Fard, Rana Alkadhi, Xavier Devroey, Gregorio Robles, Hideaki Hata, Sebastian Baltes, Vladimir Kovalenko, Shalini Chakraborty, Eray Tuzun, Hera Arif, Gianisa Adisaputri, Kelly Garcés, Anielle S. L. Andrade, Eyram Amedzor, Bimpe Ayoola, Keisha Gaspard-Chickoree, Arazoo Hoseyni:
The Software Infrastructure Attitude Scale (SIAS): A Questionnaire Instrument for Measuring Professionals' Attitudes Toward Technical and Sociotechnical Infrastructure. - Midhun Manoj:
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset. - Gonzalo Roa, Manuel Suarez-Roman, Juan Tapiador:
Hesperus is Phosphorus: Mapping Threat Actor Naming Taxonomies at Scale. - Praveen Anilkumar Shukla:
The Spectral Dimension of NTKs is Constant: A Theory of Implicit Regularization, Finite-Width Stability, and Scalable Estimation. - Ningning Chen, Weicai Ye, Ying Jiang:
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs. - Obada Kraishan:
The AI Attribution Paradox: Transparency as Social Strategy in Open-Source Software Development. - Miikka Kuutila, Paul Ralph, Huilian Sophie Qiu, Ronnie de Souza Santos, Morakot Choetkiertikul, Amin Milani Fard, Rana Alkadhi, Xavier Devroey, Gregorio Robles, Hideaki Hata, Sebastian Baltes, Hera Arif, Vladimir Kovalenko, Shalini Chakraborty, Eray Tuzun, Gianisa Adisaputri:
Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals. - Tim Veenboer, George Yiasemis, Eric Marcus, Vivien van Veldhuizen, Cees G. M. Snoek, Jonas Teuwen, Kevin Groot Lipman:
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models. - Haoshen Wang, Lei Chen, Wei-Hua Zhang, Linxia Wu, Yong Luo, Zengmao Wang, Yuan Xiong, Chengcheng Zhu, Wenjuan Tang, Xueyi Zhang, Wei Zhou, Xuhua Duan, Lefei Zhang, Gao-Jun Teng, Bo Du, Huangxuan Zhao:
Neural Discrete Representation Learning for Sparse-View CBCT Reconstruction: From Algorithm Design to Prospective Multicenter Clinical Evaluation. - Zhening Liu, Rui Song, Yushi Huang, Yingdong Hu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang:
Feed-Forward 3D Gaussian Splatting Compression with Long-Context Modeling. - Chunlin Tian, Xuyang Wei, Huanrong Liu, Zhijiang Guo, Li Li:
Less is More: Resource-Efficient Low-Rank Adaptation. - Haijian Shao, Wei Liu, Xing Deng:
Quantum-Inspired Spectral Geometry for Neural Operator Equivalence and Structured Pruning. - Li Yuan, Qingfei Huang, Bingshan Zhu, Yi Cai, Qingbao Huang, Changmeng Zheng, Zikun Deng, Tao Wang:
Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing. - Xisheng Feng:
Look, Recite, Then Answer: Enhancing VLM Performance via Self-Generated Knowledge Hints. - Jiahua Wang, Shannan Yan, Leqi Zheng, Jialong Wu, Yaoxin Mao:
Audio-Visual World Models: Towards Multisensory Imagination in Sight and Sound. - Samuel Kessler, Menglin Xia, Daniel Madrigal Díaz, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Rühle, Jordan T. Ash:
Towards Active Synthetic Data Generation for Finetuning Language Models. - Masatoshi Tateno, Gido Kato, Hirokatsu Kataoka, Yoichi Sato, Takuma Yagi:
HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics. - Carlos Rebelo, Gil Rocha, João Daniel Silva, Bruno Martins:
Multilingual Training-Free Remote Sensing Image Captioning. - Ishaan Gangwani, Aayam Bansal:
Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models. - Yiyu Wang, Xuyang Liu, Xiyan Gui, Xinying Lin, Boxue Yang, Chenfei Liao, Tailai Chen, Linfeng Zhang:
Accelerating Streaming Video Large Language Models via Hierarchical Token Compression. - Yebo Wu, Jingguang Li, Zhijiang Guo, Li Li:
Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning. - Chaojun Ni, Cheng Chen, Xiaofeng Wang, Zheng Zhu, Wenzhao Zheng, Boyuan Wang, Tianrun Chen, Guosheng Zhao, Haoyun Li, Zhehao Dong, Qiang Zhang, Yun Ye, Yang Wang, Guan Huang, Wenjun Mei:
SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead. - Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang:
Hierarchical Semantic Alignment for Image Clustering. - M. Özgün Güleç, Koray K. Safak:
Mechatronic Design, Dynamic Modeling, and Real-Time Control of a Movable Scaffold. - Chengjin Du, Federico Bernabei, Zhengyin Du, Sergio Decherchi, Matteo Lo Preti, Lucia Beccai:
Magnetic Tactile-Driven Soft Actuator for Intelligent Grasping and Firmness Evaluation. - Xinzhu Chen, Xuesheng Li, Zhongxiang Sun, Weijie Yu:
Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs. - Alireza Javanmardi, Pragati Jaiswal, Tewodros Amberbir Habtegebrial, Christen Millerdurai, Shaoxiang Wang, Alain Pagani, Didier Stricker:
TalkingPose: Efficient Face and Gesture Animation with Feedback-guided Diffusion Model. - Yuhao Shan, Qianyi Yuan, Jingguo Liu, Shigang Li, Jianfeng Li, Tong Chen:
Dual-Projection Fusion for Accurate Upright Panorama Generation in Robotic Vision. - Abdelghafour Halimi, Ali Alibrahim, Didier Barradas-Bautista, Ronell Sicat, Abdulkader M. Afifi:
ForamDeepSlice: A High-Accuracy Deep Learning Framework for Foraminifera Species Classification from 2D Micro-CT Slices. - Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi:
Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments. - Cen Lu, Yung-Chen Tang, Andrea Cavallaro:
Minimal neuron ablation triggers catastrophic collapse in the language core of Large Vision-Language Models. - Jianxiang Zang, Yongda Wei, Ruxue Bai, Shiyu Jiang, Nijia Mo, Binhong Li, Qiang Sun, Hui Liu:
Reward Auditor: Inference on Reward Modeling Suitability in Real-World Perturbed Scenarios. - Shaoxun Wang, Xingjun Zhang, Kun Xia, Qianyang Li, Jiawei Cao, Zhendong Tan:
D-CTNet: A Dual-Branch Channel-Temporal Forecasting Network with Frequency-Domain Correction. - Wentao Qu, Xiaoshui Huang, Liang Xiao:
LAHNet: Local Attentive Hashing Network for Point Cloud Registration. - Jiajun Cao, Qinggang Zhang, Yunbo Tang, Zhishang Xiang, Chang Yang, Jinsong Su:
Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation. - Imane Jaaouine, Ross D. King:
Mitigating Hallucinations in Zero-Shot Scientific Summarisation: A Pilot Study. - Keita Otani, Tatsuya Harada:
SceneProp: Combining Neural Network and Markov Random Field for Scene-Graph Grounding. - Ahmed Mustafa Younes:
DeformAr: Rethinking NER Evaluation through Component Analysis and Visual Analytics. - Nayesha Gandotra, Itamar Mishani, Maxim Likhachev:
Constant-Time Motion Planning with Manipulation Behaviors. - Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal, Swarnim Maheshwari, Vineeth N. Balasubramanian:
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks. - An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu:
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation. - Alvaro Paredes Amorin, Andre Python, Christoph Weisser:
Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data. - Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao:
Table as a Modality for Large Language Models. - Benedikt Kantz, Kevin Innerebner, Peter Waldert, Stefan Lengauer, Elisabeth Lex, Tobias Schreck:
Graph Queries from Natural Language using Constrained Language Models and Visual Editing. - Yansong Liu, Ronnie Stafford, Pramit Khetrapal, Huriye Kocadag, Graça Carvalho, Patricia de Winter, Maryam Imran, Amelia Snook, Adamos Hadjivasiliou, D. Vijay Anand, Weining Lin, John Kelly, Yukun Zhou, Ivana Drobnjak:
Multi-Modal AI for Remote Patient Monitoring in Cancer Care. - Haojian Huang, Kaijing Ma, Jin Chen, Haodong Chen, Zhou Wu, Xianghao Zang, Han Fang, Chao Ban, Hao Sun, Mulin Chen, Zhongjiang He:
Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval. - Jiale Chen, Vage Egiazarian, Torsten Hoefler, Dan Alistarh:
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization. - Alex Mwololo Kimuya, Dickson Mwenda Kinyua:
A Bidirectional Diode-Clamp Circuit Paradigm for Time-Resolved Measurement of Electrical Short-Circuits. - Boran Wen, Ye Lu, Keyan Wan, Sirui Wang, Jiahong Zhou, Junxuan Liang, Xinpeng Liu, Bang Xiao, Dingbang Huang, Ruiyang Liu, Yong-Lu Li:
Efficient and Scalable Monocular Human-Object Interaction Motion Reconstruction. - Qi Wang, Mian Wu, Yuyang Zhang, Mingqi Yuan, Wenyao Zhang, Haoxiang You, Yunbo Wang, Xin Jin, Xiaokang Yang, Wenjun Zeng:
Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning. - Mintong Kang, Chong Xiang, Sanjay Kariyappa, Chaowei Xiao, Bo Li, G. Edward Suh:
Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis. - Ziyang Zeng, Heming Jing, Jindong Chen, Xiangli Li, Hongyu Liu, Yixuan He, Zhengyu Li, Yige Sun, Zheyong Xie, Yuqing Yang, Shaosheng Cao, Jun Fan, Yi Wu, Yao Hu:
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search. - Felix Saretzky, Lucas Andersen, Thomas Engel, Fazel Ansari:
Integrating Causal Foundation Model in Prescriptive Maintenance Framework for Optimizing Production Line OEE. - Yunfeng Lin, Minghuan Liu, Yufei Xue, Ming Zhou, Yong Yu, Jiangmiao Pang, Weinan Zhang:
H-Zero: Cross-Humanoid Locomotion Pretraining Enables Few-shot Novel Embodiment Transfer. - Aradhya Chakrabarti:
A WASM-Subset Stack Architecture for Low-cost FPGAs using Open-Source EDA Flows. - Haotian Liang, Xinyi Chen, Bin Wang, Mingkang Chen, Yitian Liu, Yuhao Zhang, Zanxin Chen, Tianshuo Yang, Yilun Chen, Jiangmiao Pang, Dong Liu, Xiaokang Yang, Yao Mu, Wenqi Shao, Ping Luo:
MM-ACT: Learn from Multimodal Parallel Generation to Act. - Cynthia Feeney, Shane Williams, Benjamin S. Wessler, Michael C. Hughes:
Subgroup Validity in Machine Learning for Echocardiogram Data. - Adem Utku Atasayar, Aimin Li, Cagri Ari, Elif Uysal:
Age Optimal Sampling and Routing under Intermittent Links and Energy Constraints. - Zhihan Guo, Feiyang Xu, Yifan Li, Muzhi Li, Shuai Zou, Jiele Wu, Han Shi, Haoli Bai, Ho-fung Leung, Irwin King:
Dr.Mi-Bench: A Modular-integrated Benchmark for Scientific Deep Research Agent. - Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli, Mohsen Maboodi:
Fault-Tolerant Temperature Control of HRSG Superheaters: Stability Analysis Under Valve Leakage Using Physics-Informed Neural Networks. - Nicole Favero, Francesca Salute, Daniel Hardt:
Advancing Academic Chatbots: Evaluation of Non Traditional Outputs. - Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang:
PhotoFramer: Multi-modal Image Composition Instruction. - Han Su, Tianyu Huang, Zichen Wan, Xiaohe Wu, Wangmeng Zuo:
S2AM3D: Scale-controllable Part Segmentation of 3D Point Cloud. - Param Biyani, Shashank Kirtania, Yasharth Bajpai, Sumit Gulwani, Ashish Tiwari:
IndiMathBench: Autoformalizing Mathematical Reasoning Problems with a Human Touch. - Christof Röhrig, Benz Cramer:
LPWAN based IoT Architecture for Distributed Energy Monitoring in Deep Indoor Environments. - Mohsin Rasheed, Abdullah Al-Mamun:
Provenance-Driven Reliable Semantic Medical Image Vector Reconstruction via Lightweight Blockchain-Verified Latent Fingerprints. - Emile Parolin, Frédéric Nataf:
Coarse spaces using extended generalized eigenproblems for heterogeneous Helmholtz problems. - Zhongbin Guo, Jiahe Liu, Wenyu Gao, Yushan Li, Chengzhi Li, Ping Jian:
LISA-3D: Lifting Language-Image Segmentation to 3D via Multi-View Consistency. - Thomas Chabal, Shizhe Chen, Jean Ponce, Cordelia Schmid:
FOM-Nav: Frontier-Object Maps for Object Goal Navigation. - Vansh Sharma, Venkat Raman:
Chain of Unit-Physics: A Primitive-Centric Approach to Scientific Code Synthesis. - Zifeng Huang, Konstantin M. Zuev, Yong Xia, Michael Beer:
Upper Approximation Bounds for Neural Oscillators. - Han Chen, Sitan Chen, Anru R. Zhang:
A Provably Efficient Method for Tensor Ring Decomposition and Its Applications. - Xinhang Li, Jingbo Zhou, Pengfei Luo, Yixiong Xiao, Tong Xu:
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity. - Adelina Giurea, Stijn Luchie, Dieter Coppens, Jeroen Hoebeke, Eli De Poorter:
Integration of UWB Radar on Mobile Robots for Continuous Obstacle and Environment Mapping. - Jinu Lee, Kyoung-Woon On, Simeng Han, Arman Cohan, Julia Hockenmaier:
Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics. - Aditya Aradhye, David Lagziel, Eilon Solan:
Mechanism Design with Spiteful Agents. - Yi-Lin Wei, Haoran Liao, Yuhao Lin, Pengyue Wang, Zhizhao Liang, Guiliang Liu, Wei-Shi Zheng:
CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding. - Orestis Kaparounakis, Yunqi Zhang, Phillip Stanley-Marbell:
Approximating Analytically-Intractable Likelihood Densities with Deterministic Arithmetic for Optimal Particle Filtering. - Mohit Kumar, Mathias Brucker, Alexander Valentinitsch, Adnan Husakovic, Ali Abbas, Manuela Geiß, Bernhard Moser:
Operator-Theoretic Framework for Gradient-Free Federated Learning. - Jing He, Haodong Li, Mingzhi Sheng, Ying-Cong Chen:
Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model. - Jiaming Tang, Yufei Sun, Yilong Zhao, Shang Yang, Yujun Lin, Zhuoyang Zhang, James Hou, Yao Lu, Zhijian Liu, Song Han:
VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference. - Luigi Assom:
Associative Syntax and Maximal Repetitions reveal context-dependent complexity in fruit bat communication. - Mansi Maheshwari, John C. Raisbeck, Bruno Castro da Silva:
Addressing the Plasticity-Stability Dilemma in Reinforcement Learning. - Shutong Chen, Qi Liao, Adnan Aijaz, Yansha Deng:
Goal-Oriented Multi-Agent Semantic Networking: Unifying Intents, Semantics, and Intelligence. - Breandan Considine:
A Word Sampler for Well-Typed Functions. - Riad Ahmed Anonto, Md Labid Al Nahiyan, Md Tanvir Hassan:
When Safety Blocks Sense: Measuring Semantic Confusion in LLM Refusals. - Hetvi Shastri, Pragya Sharma, Walid A. Hanafy, Mani Srivastava, Prashant J. Shenoy:
FMTK: A Modular Toolkit for Composable Time Series Foundation Model Pipelines. - Aladin Djuhera, Fernando Koch, Alecio Binotto:
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI. - Shenxi Liu, Kan Li, Mingyang Zhao, Yuhang Tian, Shoujun Zhou, Bin Li:
Med-CRAFT: Automated Construction of Interpretable and Multi-Hop Video Workloads via Knowledge Graph Traversal. - Hadi Nekoei, Alexandre Blondin Massé, Rachid Hassani, Sarath Chandar, Vincent Mai:
Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids. - Tanmay Ambadkar, Dorde Zikelic, Abhinav Verma:
Automating the Refinement of Reinforcement Learning Specifications. - Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay Chaudhari, Curtis Langlotz:
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models. - Heman Shakeri, Torben Amtoft, Behnaz Moradijamei, Nathan Albin, Pietro Poggi-Corradini:
A Fast Algorithm for Finding Minimum Weight Cycles in Mining Cyclic Graph Topologies. - Muhtadin, Muhammad Hilmi Rusydiansyah, Mauridhi Hery Purnomo, I Ketut Eddy Purnama, Chastine Fatichah:
Autonomous Grasping On Quadruped Robot With Task Level Interaction. - MohammadParsa Dini, Human Jafari:
Adaptive-lambda Subtracted Importance Sampled Scores in Machine Unlearning for DDPMs and VAEs. - Shubham Aggarwal, Dipankar Maity, Tamer Basar:
The Silence that Speaks: Neural Estimation via Communication Gaps. - Anantha Padmanaban Krishna Kumar:
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction. - Haoru Xue, Tairan He, Zi Wang, Qingwei Ben, Wenli Xiao, Zhengyi Luo, Xingye Da, Fernando Castañeda, Guanya Shi, Shankar Sastry, Linxi Jim Fan, Yuke Zhu:
Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer. - Seokhyun Chin, Junghwan Park, Woojin Cho:
PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting. - Francisco J. Soulignac:
Beware of the Classical Benchmark Instances for the Traveling Salesman Problem with Time Windows. - Joel Cahn, Antonin Thomas, Philippe Pastor:
Reinforcement Learning for Gliding Projectile Guidance and Control. - Euzeli Cipriano dos Santos Jr., Josinaldo Lopes Araujo Rocha, Anielson dos Santos Souza, Isaac Soares de Freitas, Hudson E. Alencar Menezes:
Assessing the Viability of Fresnel Lenses for Weed Control in Prickly Pear Cactus Cultivation: A Spatiotemporal Coverage Perspective. - Neha Joshi, Pamir Gogoi, Aasim Mirza, Aayush Jansari, Aditya Yadavalli, Ayushi Pandey, Arunima Shukla, Deepthi Sudharsan, Kalika Bali, Vivek Seshadri:
ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages. - Jiawei Ren, Yan Zhuang, Xiaokang Ye, Lingjun Mao, Xuhong He, Jianzhi Shen, Mrinaal Dogra, Yiming Liang, Ruixuan Zhang, Tianai Yue, Yiqing Yang, Eric Liu, Ryan Wu, Kevin Benavente, Rajiv Mandya Nagaraju, Muhammad Faayez, Xiyan Zhang, Dhruv Vivek Sharma, Xianrui Zhong, Ziqiao Ma, Tianmin Shu, Zhiting Hu, Lianhui Qin:
SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds. - Stephen Fitz:
Testing the Machine Consciousness Hypothesis. - Fatih Efe Bilgen, Ayse Sila Okcu, O. Tansel Baydas, Özgür B. Akan:
Internet of Intelligent Reflecting Surfaces (IoIRS). - Wenjun Zhang, Shekhar S. Chandra, Aaron Nicolson:
Generalised Medical Phrase Grounding. - Jingxiang Huang, Samer Lahoud:
Physical-Layer Analysis of LoRa Robustness in the Presence of Narrowband Interference. - Peter A. Jansen, Samiah Hassan, Pragnya Narasimha:
CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents. - Sofia Sideri, Georgia Troullinou, Elisjana Ymeralli, Vasilis Efthymiou, Dimitris Plexousakis, Haridimos Kondylakis:
PG-HIVE: Hybrid Incremental Schema Discovery for Property Graphs. - Taicheng Zheng, Dan Li, Jie Li:
Bayesian dynamic scheduling of multipurpose batch processes under incomplete look-ahead information. - Pranav Subbaraman, Shufan Li, Siyan Zhao, Aditya Grover:
Accelerating Inference of Masked Image Generators via Reinforcement Learning. - Simon Kohaut, Daniel Ochs, Shun Zhang, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami:
CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions. - Mrdjan Jankovic, Shreshta Rajakumar Deshpande, Gopika Ajaykumar:
Negotiating Highway Interchange Traffic with a Decentralized Instability-Driven CBF-based Algorithm. - Daria Smirnova, Hamid Nasiri, Marta Adamska, Zhengxin Yu, Peter Garraghan:
Energy-Aware Data-Driven Model Selection in LLM-Orchestrated AI Systems. - Marzhan M. Baubekova, Martijn A. Goorden, Michel A. Reniers, Joanna M. van de Mortel-Fronczak, Jacobus E. Rooda, Wan J. Fokkink:
Supervisory control synthesis for multilevel DES with local buses. - Hui Zhou, Jiaying Guo, Marios Aristodemou, Zhaoyang Du, Shen Wang, Xiaolan Liu, Soufiene Djahel, Celimuge Wu:
Semantic Communications for Vehicle-Based Mission-Critical Services: Challenges and Solutions. - Roy Velich, Arkadi Piven, David Bensaïd, Daniel Cremers, Thomas Dagès, Ron Kimmel:
Learning Eigenstructures of Unstructured Data Manifolds. - Evelyn Zhang, Alex Richardson, Jonathan Sprinkle:
Estimation of Kinematic Motion from Dashcam Footage. - Himanshi Lalwani, Hanan Salam:
Supporting Productivity Skill Development in College Students through Social Robot Coaching: A Proof-of-Concept. - Nathan F. Lepora:
Tactile Robotics: Past and Future. - Sanjog Misra:
Foundation Priors. - Gabriel Olin, Lu Chen, Nayesha Gandotra, Maxim Likhachev, Howie Choset:
Think Fast: Real-Time Kinodynamic Belief-Space Planning for Projectile Interception. - Yaxuan Ren, Krithika Ramesh, Yaxing Yao, Anjalie Field:
How do we measure privacy in text? A survey of text anonymization metrics. - Himanshi Lalwani, Hanan Salam:
Ethically-Aware Participatory Design of a Productivity Social Robot for College Students. - Tarun Chitra:
Autodeleveraging: Impossibilities and Optimization. - Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang:
Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. - Tao Zhang, Yevgeniy Vorobeychik:
Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping. - Yilan Zhang, Li Nanbo, Changchun Yang, Jürgen Schmidhuber, Xin Gao:
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis. - Geigh Zollicoffer, Tanush Chopra, Mingkuan Yan, Xiaoxu Ma, Kenneth Eaton, Mark Riedl:
World Model Robustness via Surprise Recognition. - Christine Awofeso, Patrick Greaves, Oded Lachish, Felix Reidl:
A practical algorithm for 3-admissibility. - Chen Henry Wu, Sachin Goyal, Aditi Raghunathan:
Mode-Conditioning Unlocks Superior Test-Time Scaling. - Haotian Liu, Haoyu Chen, Chenhui Pan, You Hu, Guoying Zhao, Xiaobai Li:
OmniFD: A Unified Model for Versatile Face Forgery Detection. - Loris Mendolia, Chenxi Wen, Elisabetta Chicca, Giacomo Indiveri, Rodolphe Sepulchre, Jean-Michel Redouté, Alessio Franci:
A Neuromodulable Current-Mode Silicon Neuron for Robust and Adaptive Neuromorphic Systems. - Noah Fleming, Stefan Grosser, Siddhartha Jain, Jiawei Li, Hanlin Ren, Morgan Shirley, Weiqiang Yuan:
Total Search Problems in ZPP. - Muhammad Yousuf, Akshat Bagade, Chhittebbayi Penugonda, Maanas Baraya:
Neural Variable Name Repair: Learning to Rename Identifiers for Readability. - Riyadh Mohammed Almushrafy:
Weakly Supervised Continuous Micro-Expression Intensity Estimation Using Temporal Deep Neural Network. - Hamza ElMokhtar Shili, Natasha Patnaik, Isabelle Ruble, Kathryn Jarjoura, Daniel Suarez Aguirre:
Projection-Free CNN Pruning via Frank-Wolfe with Momentum: Sparser Models with Less Pretraining. - Hamza Tahboub, Weiyan Shi, Gang Hua, Huaizu Jiang:
SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models. - Krishna Taduri, Shaunak Dhande, Giacinto Paolo Saggese, Paul Smith:
A Benchmark of Causal vs Correlation AI for Predictive Maintenance. - Konstantin Makarychev, Ilias Papanikolaou, Liren Shan:
Dynamic Algorithm for Explainable k-medians Clustering under lp Norm. - Dong Liu:
Fiber Bundle Networks: A Geometric Machine Learning Paradigm. - Shravan Chaudhari, Yoav Wald, Suchi Saria:
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution. - Han-Jin Lee, Han-Ju Lee, Jin-Seong Kim, Seok-Hwan Choi:
DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling. - Krishna Kumaar Sharma:
Beyond Greenfield: The D3 Framework for AI-Driven Productivity in Brownfield Engineering. - Ahmad Ali:
From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs. - Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Kaushik Roy:
2D-ThermAl: Physics-Informed Framework for Thermal Analysis of Circuits using Generative AI. - Yasaswini Konapalli, Lotfi Ben Othmane, Cihan Tunc, Feras Benchellal, Likhita Mudagere:
Reverse Engineering and Control-Aware Security Analysis of the ArduPilot UAV Framework. - Mohamed Abdallah Salem, Ahmed Harb Rabia:
Real-Time On-the-Go Annotation Framework Using YOLO for Automated Dataset Generation. - Lily Stelling, Malcolm Murray, Siméon Campos, Henry Papadatos:
Evaluating AI Companies' Frontier Safety Frameworks: Methodology and Results. - Mohamed Abdallah Salem, Manuel Cuevas Perez, Ahmed Harb Rabia:
A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems. - Yuxuan Bao, J. Nathan Kutz:
Data assimilation and discrepancy modeling with shallow recurrent decoders. - Tao Xue, Yanwu Yang, Panyu Zhai:
Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions. - Hyunjun Kim, Sooyoung Ryu:
DrawingBench: Evaluating Spatial Reasoning and UI Interaction Capabilities of Large Language Models through Mouse-Based Drawing Tasks. - Lilian Markenzon, Cláudia Marcela Justel:
Structural and Spectral Properties of Strictly Interval Graphs. - Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi:
VSRD++: Autolabeling for 3D Object Detection via Instance-Aware Volumetric Silhouette Rendering. - Shan Gao, Yanwu Yang:
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives. - Andrew Du, Roberto Del Prete, Alejandro Mousist, Nicholas M. Sanger, Fabrice Marre, Andrew Barton, Carl Seubert, Gabriele Meoni, Tat-Jun Chin:
First On-Orbit Demonstration of a Geospatial Foundation Model. - Yuri Shimane, Karl Berntorp, Stefano Di Cairano, Avishai Weiss:
Autonomous Navigation and Station-Keeping on Near-Rectilinear Halo Orbits. - Yongxin Zhou, Philippe Mulhem, Didier Schwab:
TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness. - Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
DefenSee: Dissecting Threat from Sight and Text - A Multi-View Defensive Pipeline for Multi-modal Jailbreaks. - Harshil Vejendla:
Teaching by Failure: Counter-Example-Driven Curricula for Transformer Self-Improvement. - Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman:
Real-World Reinforcement Learning of Active Perception Behaviors. - Chunzheng Zhu, Jialin Shao, Jianxin Lin, Yijun Wang, Jing Wang, Jinhui Tang, Kenli Li:
fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment. - Nagham Osman, Keyue Jiang, Davide Buffelli, Xiaowen Dong, Laura Toni:
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening. - Krithik Vishwanath, Mrigayu Ghosh, Anton Alyakin, Daniel Alexander Alber, Yindalon Aphinyanaphongs, Eric Karl Oermann:
Generalist Large Language Models Outperform Clinical Tools on Medical Benchmarks. - Masoud Rahimi, Sébastien Le Beux:
Leveraging Recurrent Patterns in Graph Accelerators. - Jaejin Jeon, Seonghoon Ryoo, Sang-Duck Lee, Soomok Lee, Seungwoo Jeong:
RoboLoc: A Benchmark Dataset for Point Place Recognition and Localization in Indoor-Outdoor Integrated Environments. - Shihang Li, Zhiqiang Gong, Weien Zhou, Yue Gao, Wen Yao:
Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors. - (Withdrawn) Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework.
- Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake A. Richards, Cole L. Hurwitz, Joshua H. Siegle, Eva L. Dyer:
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context. - Yujie Huang, Haibin Wan, Xiangcheng Li, Tuanfa Qin, Yun Li, Jun Li, Wen Chen:
Sum Rate Maximization in STAR-RIS-UAV-Assisted Networks: A CA-DDPG Approach for Joint Optimization. - Jonathan Baxter:
The Evolution of Learning Algorithms for Artificial Neural Networks. - Ziqian Wang, Yonghao He, Licheng Yang, Wei Zou, Hongxuan Ma, Liu Liu, Wei Sui, Yuxin Guo, Hu Su:
TabletopGen: Instance-Level Interactive 3D Tabletop Scene Generation from Text or Single Image. - Wen Zhao, Jiawen Ding, Xueting Huang, Yibo Zhang:
Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment. - Xuezhi Liu:
Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation. - Alper Yildirim, Ibrahim Yücedag:
Pay Attention Later: From Vector Space Diffusion to Linearithmic Spectral Phase-Locking. - Ruiyu Wang, Tuan Vinh, Ran Xu, Yuyin Zhou, Jiaying Lu, Carl Yang, Francisco Pasquel:
Knowledge Graph Augmented Large Language Models for Disease Prediction. - Xuanyi Zhao, Jiawen Ding, Xueting Huang, Yibo Zhang:
A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability. - Yangbangyan Jiang, Qianqian Xu, Huiyang Shao, Zhiyong Yang, Shilong Bao, Xiaochun Cao, Qingming Huang:
Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations.