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Robert Leaman

@robertleaman.bsky.social

Staff scientist in biomedical natural language processing / text mining. Creating a literature resource on Long Covid. Views do not represent my employer.

Posts Replies Media

Reposted by Robert Leaman

BF Francis Ouellette @bffo.bsky.social · 16/09/2026

From @robertleaman.bsky.social et al in #OUP 's #DATABASE journal | MedHopQA: a disease-centred multi-hop reasoning benchmark and evaluation framework for LLM-based biomedical question answering | #OpenScience #LLM #Wikipedia #Mondo #NCBIGene #NCBITaxonomy |🧬🖥️🧪🔓 ⬇️ academic.oup.com/database/art...

academic.oup.com

MedHopQA: a disease-centred multi-hop reasoning benchmark and evaluation framework for LLM-based biomedical question answering

Abstract. Evaluating large language models (LLMs) in the biomedical domain requires benchmarks that can distinguish genuine reasoning from pattern matching

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Robert Leaman @robertleaman.bsky.social · 12/07/2026

Looking forward to welcoming everyone to the Text Mining COSI this Monday, July 13 at #ISMB2026. The program cosi.iscb.org/wiki/TextMin... will include LLM-powered biomedical question answering, multi-agent systems, biomedical information extraction, and trustworthy AI for scientific discovery.

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Robert Leaman @robertleaman.bsky.social · 20/10/2025

Yes, both as training data and as a source of high(-ish) quality documents for RAG to reduce hallucination. But now that we can generate large quantities of "almost correct" content, the real value might be preserving how we learned something in the first place: the evidence.

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Reposted by Robert Leaman

Eric Feigl-Ding @drericding.bsky.social · 16/11/2024

Sounds about right.

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