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Hidden Anchors in Multi-Agent LLM Deliberation
多智能体LLM讨论中隐藏锚点导致偏差,揭示模型共识机制的关键漏洞。
arXiv:2606.19494v1 Announce Type: new Abstract: Multi-agent LLM deliberation, where agents exchange and revise answers over several rounds, is increas…
多智能体LLM讨论中隐藏锚点导致偏差,揭示模型共识机制的关键漏洞。
arXiv:2606.19494v1 Announce Type: new Abstract: Multi-agent LLM deliberation, where agents exchange and revise answers over several rounds, is increas…
多智能体协作实现多模态感知,ACL 2026 前沿研究,看点多模态融合与共识机制如何提升感知精度。
arXiv:2601.06453v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly grounded in sensor data to perceive and reason about…