collaborators

13 papers

cs.AI2026

GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents

Xiao Zhou, Siyue Zhang, Yilun Zhao +4

Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing evaluations confound interaction modality with d…

cs.MA2026

SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design

Kun Zeng, Yu Huo, Siyu Zhang +5

Existing graph-based multi-agent system (MAS) designers mainly improve collaboration by optimizing communication topologies over predefined agents, roles, or groups. However, becau…

cs.AI2026

From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMs

Siyue Chen, Yifu Guo, Yuquan Lu +9

Standard accuracy metrics cannot explain why LLMs handle variable tracking but fail on semantically equivalent loops. We study an internal lifecycle of code reasoning in which mode…

cs.AI2026

ReasonAudio: A Benchmark for Evaluating Reasoning Beyond Matching in Text-Audio Retrieval

Honglei Zhang, Yuting Chen, Chenpeng Hu +2

As multimodal content continues to expand at a rapid pace, audio retrieval has emerged as a key enabling technology for media search, content organization, and intelligent assistan…

cs.CL2026

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

Yilun Zhao, Jinbiao Wei, Tingyu Song +3

Reasoning-intensive retrieval aims to surface evidence that supports downstream reasoning rather than merely matching topical similarity. This capability is increasingly important…

cs.IR2026

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges

Yiyang Wei, Tingyu Song, Siyue Zhang +1

Reasoning-Intensive Retrieval (RIR) targets retrieval settings where relevance is mediated by latent inferential links between a query and supporting evidence, rather than semantic…