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Home/Authors/Zhen Wu

Zhen Wu

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Vision×1Software Eng.×1NLP×1ML×1

Frequent co-authors

Shen Zhou1×
Jinghui Zhang1×
Wenbo Huang1×
Xuwei Qian1×
Guangwen Peng1×
Zhiyuan Li1×

Research Timeline

2026
Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems

The paper proposes an Entropy Dynamics framework to analyze the stability and failure modes of centralized orchestration in Multi-Agent Systems, identifying a 'Reasoning Trap' where complex reasoning models fail due to context overload.

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

BenchEvolver introduces a solution-centric evolutionary framework to automatically transform saturated coding benchmarks into significantly harder, high-quality, and diverse evaluation suites.

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

QuReC is a unified framework for all-in-one image restoration using a Degradation-Guided Query Reconstruction Module and a Local-Global Response Calibration Module.

Highlighted terms show continued research focus across papers

Papers

cs.CVEmpiricalRecentJul 16, 2026

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

Shen Zhou, Jinghui Zhang, Wenbo Huang, Xuwei Qian +6 more

QuReC is a unified framework for all-in-one image restoration using a Degradation-Guided Query Reconstruction Module and a Local-Global Response Calibration Module.

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cs.AIRecentMay 31, 2026

Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems

Junze Zhu, Weihao Chen, Xuanwang Zhang, Zhen Wu +1 more

The paper proposes an Entropy Dynamics framework to analyze the stability and failure modes of centralized orchestration in Multi-Agent Systems, identifying a 'Reasoning Trap' where complex reasoning…

View →
cs.SEcs.AIcs.CLRecentMay 31, 2026

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

Yangzhen Wu, Aaron J. Li, Wenjie Ma, Li Cao +9 more

BenchEvolver introduces a solution-centric evolutionary framework to automatically transform saturated coding benchmarks into significantly harder, high-quality, and diverse evaluation suites.

View →