상황 의존적 생물의학 질문 답변에 대한 조건-게이티드 추론

[Submitted on 20 Feb 2026 (v1), last revised 6 Jun 2026 (this version, v3)]

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Abstract:Current biomedical question answering (QA) systems often assume that medical knowledge applies uniformly, yet real-world clinical reasoning is inherently conditional: nearly every decision depends on patient-specific factors such as comorbidities and contraindications. Existing benchmarks do not evaluate such conditional reasoning, and retrieval-augmented or graph-based methods lack explicit mechanisms to ensure that retrieved knowledge is applicable to given context. To address this gap, we propose CondMedQA, the first benchmark for conditional biomedical QA, consisting of multi-hop questions whose answers vary with patient conditions. Furthermore, we propose Condition-Gated Reasoning (CGR), a novel framework that constructs condition-aware knowledge graphs and selectively activates or prunes reasoning paths based on query conditions. Our findings show that CGR more reliably selects condition-appropriate answers while matching or exceeding state-of-the-art performance on biomedical QA benchmarks, highlighting the importance of explicitly modeling conditionality for robust medical reasoning.

Submission history

From: Jash Parekh [view email]
[v1] Fri, 20 Feb 2026 00:17:14 UTC (255 KB)
[v2] Sat, 7 Mar 2026 21:20:20 UTC (255 KB)
[v3] Sat, 6 Jun 2026 00:59:42 UTC (256 KB)