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cs.AI2026
When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate
Duofeng Xu, Bryan Hooi, Dandan Qiao
Multi-agent debate (MAD) is often used to improve large language model (LLM) reasoning, but sequential debate is rarely a neutral aggregator of agents' opinions. We show that seque…
cs.AI2025
From Long to Short: LLMs Excel at Trimming Own Reasoning Chains
Wei Han, Geng Zhan, Sicheng Yu +2
O1/R1 style large reasoning models (LRMs) signal a substantial leap forward over conventional instruction-following LLMs. By applying test-time scaling to generate extended reasoni…