output
20092026
most citedMulti-Agent Distributed Optimization via Inexact Consensus ADMM

464 citations

93 papers

cs.LG2026★ 1 cited

Atoms of Thought: Universal EEG Representation Learning with Microstates

Xinyang Tian, Ruitao Liu, Ziyi Ye +3

Learning universal representations from electroencephalogram (EEG) signals is a cutting-edge approach in the field of neuroinformatics and brain-computer interfaces (BCIs). Convent…

cs.SE2026

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis

Jiahong Xiang, Xiaoyang Xu, Xiaopan Chu +2

Autonomous agents for automated program repair represent a promising frontier in software engineering, yet their effectiveness is often hindered by reliance on post-mortem, coarse-…

cs.CR2026

Evaluating Privilege Usage of Agents with Real-World Tools

Quan Zhang, Lianhang Fu, Lvsi Lian +5

Equipping LLM agents with real-world tools can substantially improve productivity. However, granting agents autonomy over tool use also transfers the associated privileges to both…

cs.CV2025★ 13 cited

MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation

Henghui Ding, Chang Liu, Shuting He +4

This paper proposes a large-scale multi-modal dataset for referring motion expression video segmentation, focusing on segmenting and tracking target objects in videos based on lang…

cs.CL2025

Mining Legal Arguments to Study Judicial Formalism

Tomáš Koref, Lena Held, Mahammad Namazov +3

Courts must justify their decisions, but systematically analyzing judicial reasoning at scale remains difficult. This study tests claims about formalistic judging in Central and Ea…

cs.SE2025

Minimizing Breaking Changes and Redundancy in Mitigating Technical Lag for Java Projects

Rui Lu, Lyuye Zhang, Kaixuan Li +2

Re-using open-source software (OSS) can avoid reinventing the wheel, but failing to keep it up-to-date can lead to missing new features and persistent bugs or vulnerabilities that…