Stanford's VERDICT clinical trial matching paper wins EMNLP 2026 Outstanding Paper Award
stanfordnlp · x · 2026-11-01
- Stanford NLP researchers Cyrus Zhou, Monica Lam and colleagues won an Outstanding Paper Award at EMNLP 2026 in Budapest (one of 12 awarded papers) for "Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT."
- The paper gives an operational interpretation of "accountability" for automated decisions in high-stakes domains, combining LLMs with Satisfiability Modulo Theories logic to evaluate rationale grounding and counterfactual self-consistency.
- The work was done in collaboration with Mayo Clinic; the team teases more on VERDICT soon.
Related event: Stanford's Clinical Trial Matching Paper Wins EMNLP Outstanding Paper Award(2 posts)→
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