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cs.CL2026
DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving
Xiaochen Zhu, Georgi Karadzhov, Tom Stafford +1
Multi-party dialogue is a critical setting for studying collaborative reasoning and decision-making, yet existing datasets rarely focus on structured, reasoning-intensive tasks. We…
cs.CL2026
Demystifying Multi-Agent Debate: The Role of Confidence and Diversity
Xiaochen Zhu, Caiqi Zhang, Yizhou Chi +3
Multi-agent debate (MAD) is widely used to improve large language model (LLM) performance through test-time scaling, yet recent work shows that vanilla MAD often underperforms simp…