Author

Yuzhe Yang

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Preprint Sep 2026

Absorbing State Phase Transitions in Multi-Agent Search

Nontrivial dynamics can emerge in large language model (LLM)-based multi-agent systems, and preliminary evidence exists that formalisms from statistical mechanics can be effective at modeling and predicting such behaviors. In parallel, designing multi-agent communication topology for optimal task-solving is an active r...

Wen-Wen Zheng, Yuzhe Yang, Helen Qu et al. · 0 citations

Preprint Sep 2026

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

Embodied navigation requires agents to ground instructions or object goals in spatial observations and translate plans into successful execution. As multimodal large language models (MLLMs) become increasingly capable, they offer stronger support for navigation without task-specific training; however, improved semantic...

Yang Chen, Li-Rong Che, Zhen-Yu Huang et al. · 4 citations · ⚡1

Preprint Aug 2026

CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning

CoBench is introduced, a construct-level benchmark for evaluating multi-agent embodied coordination in executable household tasks and shows that coordination ability is highly construct-specific: strong overall performance does not imply balanced competence across different coordination types.

Yang Chen, Ye-Xin Xie, Li-Rong Che et al. · 0 citations