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New agent tackles clinical question answering with conflict-aware retrieval

By PulseAugur Editorial · [2 sources] ·

Researchers have developed ARCagent, a novel system designed to address the challenges of clinical question answering in complex diseases like myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). This agent features a structured knowledge base that registers inter-guideline conflicts and employs a conflict-aware retrieval calibration pipeline to re-rank evidence based on query-specific signals. The system was evaluated using an LLM-as-a-Judge benchmark, achieving a 95.3% score and outperforming base large language models. AI

IMPACT Improves accuracy and safety in clinical question answering for complex diseases by addressing conflicting information.

RANK_REASON Research paper detailing a new agent for clinical question answering. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New agent tackles clinical question answering with conflict-aware retrieval

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Research paper detailing a new agent for clinical question answering. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yuyan Chen ·

    ARCagent: An Adaptive Retrieval Calibration Agent for Clinical Question Answering

    arXiv:2609.36392v1 Announce Type: new Abstract: In diseases where clinical guidelines are incomplete, contested, or mutually contradictory, knowledge completeness and dynamic conflict-aware synthesis are two safety-critical properties that standard Retrieval-Augmented Generation …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yuyan Chen ·

    ARCagent: An Adaptive Retrieval Calibration Agent for Clinical Question Answering

    In diseases where clinical guidelines are incomplete, contested, or mutually contradictory, knowledge completeness and dynamic conflict-aware synthesis are two safety-critical properties that standard Retrieval-Augmented Generation systems do not provide. Therefore, we present \s…

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