Author

Jesse Thomason

2 papers indexed here

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#artificial intelligence Preprint Oct 2026

SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning

Self-evolving LLM agents promise to improve autonomously through continual interaction and learning, reducing their dependence on manually curated supervision. Realizing this promise requires not only updating the agent, but also evolving its training experience as its capabilities change. However, most existing pipeli...

Wei Yang, Shawn Li, Yuehan Qin et al. · 1 citation

#artificial intelligence Feb 2026

Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge

AgentAuditor is introduced, which moves beyond frequency-based aggregation by organizing agent traces into a Reasoning Tree that explicitly represents agreements and divergences in their reasoning, and Anti-Consensus Preference Optimization (ACPO), which trains the adjudicator with evidence-verified preference supervis...

Wei Yang, Shi-Xuan Li, Heng Ping et al. · arXiv.org · 18 citations