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cs.AI2026
PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
Chris Zhu, Sasha Cui, Will Sanok Dufallo +4
We present an in-depth evaluation of LLMs' ability to negotiate, a central business task requiring strategic reasoning, theory of mind, and economic value creation. To do so, we in…
cs.AI2026
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
Zhiyuan Hu, Yunhai Hu, Juncheng Liu +9
Multi-agent systems have evolved into practical LLM-driven collaborators for many applications, gaining robustness from diversity and cross-checking. However, multi-agent RL (MARL)…