Dataset · Hugging Face

Sssunset/BaRe-Mem-Data

Name: BaRe-Mem-Data
Creator: Sssunset
License: mit
Keywords: task_categories:question-answering, task_categories:multiple-choice, task_categories:text-generation, language:en, license:mit, size_categories:100K<n<1M, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2609.35551, region:us

BaRe-Mem: Bayesian Reliability Memory for Robust and Adaptive Agent Consultation Overview In multi-agent systems, a central model can consult advisors, but advisor capabilities vary across tasks, and misleading information can make consultation worse than autonomous reasoning. BaRe-Mem is an online Bayesian reliability memory for multi-agent consultation: it estimates each advisor's reliability from the central model's internal belief representations, updates these… See the full description on the dataset page: https://huggingface.co/datasets/Sssunset/BaRe-Mem-Data.

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Author / organization	Sssunset
License (as declared)	mit
Downloads	364 (as reported by Hugging Face)
Likes	2
Created	28 September 2026
Last updated at source	3 October 2026

multi-agentagentsllmreliabilitymisleading-informationconsultationmemorybayesian

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