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Peilin Feng

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#artificial intelligence Preprint Sep 2026

BaRe-Mem: Bayesian Reliability Memory for Robust and Adaptive Agent Consultation

BaRe-Mem, an online Bayesian reliability memory for multi-agent consultation, is introduced, an online Bayesian reliability memory for multi-agent consultation that estimates advisor reliability based on the central model's internal belief representations and updates these estimates from historical interactions.

Pei-Lin Feng, Zheng-Yang Huang, Soujanya Poria · 0 citations
Jul 2026

Σ-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central model may be unable to directly verify plausible...

Peilin Feng, Suorong Yang, Soujanya Poria · 0 citations

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