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20242026
most citedEnhancing LLM Character-Level Manipulation via Divide and Conquer

1 citations · 1 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

DiffuPlan: Editable Planning State for Diffusion Language Model Agents

Qisheng Zhou, Zhen Xiong, Qiaoyu Tan

Diffusion language models (dLLMs) are emerging as an alternative to autoregressive (AR) language models, yet dLLM agents largely inherit an interaction protocol designed for AR gen…

cs.LG2026

TRACE: Trajectory Selection for Parallel Scaling of Search Agents

Qisheng Zhou, Zhen Xiong, Qiaoyu Tan

Parallel search may generate a correct answer that final-answer voting fails to select. We formulate this consolidation stage as trajectory selection and introduce TRACE (Trajector…

cs.AI2026

EASE: Behavior-Adaptive Skill Curation for Self-Evolving Agents

Zhen Xiong, Qiaoyu Tan

Agent skills provide a lightweight mechanism for self-evolving agents to accumulate reusable procedural knowledge without updating model parameters. However, existing learned skill…

cs.SE2026

AsynCodeBench: Benchmarking Collaboration of Asynchronous Multi-Agent Systems in Software Engineering

Kaituo Zhang, Zhen Xiong, Zhimeng Jiang +8

Multi-agent coding has emerged as an increasingly active direction in software engineering, where complex development tasks are decomposed across multiple specialized agents workin…

cs.AI2026

Are Tools All We Need? Unveiling the Tool-Use Tax in LLM Agents

Kaituo Zhang, Zhen Xiong, Mingyu Zhong +4

Tool-augmented reasoning has become a popular direction for LLM-based agents, and it is widely assumed to improve reasoning and reliability. However, we demonstrate that this conse…