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Challenge-Aware Knowledge Recruitment with Meta-Agent Supervision for Medical Multi-Agent Reasoning
Not provided in the abstract
multi-agentknowledge retrievalmedical reasoningadaptive systems
2611.05393
Builder Relevance
2h ago80%
Abstract
This paper proposes a challenge-aware adaptive recruitment method for improving multi-agent reasoning in medical question answering by addressing gaps that emerge during reasoning.
Reality Card
Core Claim
Challenge-aware in-between retrieval improves accuracy on 8 of 9 biomedical datasets, demonstrating the importance of timing and specificity in knowledge recruitment.
Method / Result
GPT-4.1-mini MedQA accuracy improved from 46% to 54% with Challenger-triggered recruitment.
Limitations
Naively combining retrieval and specialist recruitment degrades performance, indicating a need for careful coordination.
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