EMNLP Findings2022
SciFact-Open: Towards open-domain scientific claim verification
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
Abstract
While research on scientific claim verification has led to the development of powerful systems that appear to approach human performance, these approaches have yet to be tested in a realistic setting against large corpora of scientific literature. Moving to this open-domain evaluation setting, however, poses unique challenges; in particular, it is infeasible to exhaustively annotate all evidence documents. In this work, we present SCIFACT-OPEN, a new test collection designed to evaluate the performance of scientific claim verification systems on a corpus of 500K research abstracts. Drawing upon pooling techniques from information retrieval, we collect evidence for scientific claims by pooling and annotating the top predictions of four state-of-the-art scientific claim verification models. We find that systems developed on smaller corpora struggle to generalize to SCIFACT-OPEN, exhibiting performance drops of at least 15 F1. In addition, analysis of the evidence in SCIFACT-OPEN reveals interesting phenomena likely to appear when claim verification systems are deployed in practice, e.g., cases where the evidence supports only a special case of the claim. Our dataset is available at https://github.com/dwadden/scifact-open.
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Cited by top-tier papers21
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis et al.EMNLP 2023 · 225 citations
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- HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAbhilasha Ravichander, Shrusti Ghela, David Wadden, Yejin ChoiACL 2025 · 35 citations
- Towards Understanding Factual Knowledge of Large Language ModelsXuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo et al.ICLR 2024 · 21 citations
- Longitudinal Assessment of Reference Quality on WikipediaAitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou et al.WWW 2023 · 14 citations
Builds on12
- S2ORC: The Semantic Scholar Open Research CorpusKyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney et al.ACL 2020 · 424 citations
- AmbigQA: Answering Ambiguous Open-domain QuestionsSewon Min, Julian Michael, Hannaneh Hajishirzi, Luke ZettlemoyerEMNLP 2020 · 162 citations
- Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis et al.EMNLP 2020 · 142 citations
- MS2: Multi-Document Summarization of Medical StudiesJay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl et al.EMNLP 2021 · 83 citations
- Evidence-based Fact-Checking of Health-related ClaimsMourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, Dina Demner-FushmanEMNLP Findings 2021 · 71 citations
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