Evaluating Biomedical Reranking for LLM-Based Question Answering over Longitudinal Clinical Notes
Biomedical reranking raised clinical-note Hit@10 from 46.6% to 60.6%, while Qwen3-8B correctness reached only 48.6%.
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AI model
PubMedBERT
- Mentions · 7d0
- Mentions · 30d0
- All mentions2
- First seenSep 10, 2026
- Last mentionedOct 1, 2026
Timeline
2 articles · newest firstDomain-Specific Hallucination Detection in Large Language Models
A multi-signal pipeline detects LLM hallucinations, reaching F1 0.915 on HaluEval and cutting Qwen2.5-0.5B hallucination rates from 85.5% to 37.7% via DPO.
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Appears with
- SciFactproduct · 1
- DeBERTa-v3product · 1
- Qwen2.5-0.5Bai model · 1
- DeBERTa-v3ai model · 1
- PubMedBERTproduct · 1
- MedCPTai model · 1
- arXivorganization · 1
- HaluEvalproduct · 1
- Qwen3-8Bai model · 1
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