Beyond Information Seeking: Severity-Aware Question Supervision for Proactive Medical Dialogue
Proactive medical dialogue requires an agent to decide what to ask from incomplete patient information. Existing information-seeking approaches commonly prioritize questions that most reduce diagnostic uncertainty. While effective for acquiring informative evidence, this criterion overlooks an important property of medical diagnosis: different diagnostic errors can carry substantially different consequences. Missing a severe condition may matter more than reducing uncertainty among less consequential alternatives. Question acquisition should therefore consider not only how informative new evid
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 46%How AI is eroding bedside diagnosis and what to do about it - The World Economic Forum →
- FuzzySimilar title/name (fuzzy) · 84%roboflow/supervision →
“Fuzzy title match (0.92): “Beyond Information Seeking: Severity-Aware Question Supervis” ≈ “roboflow/supervision””
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: wan”
- LinkedLinked via arxiv author · 85%Chenxuan Li →
“Beyond Information Seeking: Severity-Aware Question Supervision for Proactive Medical Dialogue”