Author

Liangqi Yuan

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#machine learning Preprint Sep 2026

Theory of Scene: Breaking the Symmetry Trap in Multi-Agent LLM Coordination

Tory of Scene (ToS), a training-free reasoning schema in which each agent reads its public role, the only difference between the agents, and the task context they all observe, is proposed, which outperforms all six baselines on every benchmark, and each baseline falls far behind it in at least one setting.

Liang-Qi Yuan, Wen-Zhi Fang, Shi-Qiang Wang et al. · 0 citations

Preprint Aug 2026

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers

This work presents a unified formulation of LLM routing as a sequential decision process characterized by five components: context encoders, model encoders, scoring functions, decision rules, and learning signals, covering single-turn, multi-turn, and personalized routing.

Tao Feng, Fangxu Yu, Haozhen Zhang et al. · 1 citation