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MultiVerS: Improving scientific claim verification with weak supervision and full-document context.

, , , , , and . NAACL-HLT (Findings), page 61-76. Association for Computational Linguistics, (2022)

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KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions., , , , , and . CoRR, (2024)Faithful Reasoning over Scientific Claims., , , , , and . AAAI Spring Symposia, page 263-272. AAAI Press, (2024)Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2., , , , , , , , , and 1 other author(s). CoRR, (2023)When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets., , , , , , and . EACL (Findings), page 1987-2003. Association for Computational Linguistics, (2024)Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study., , , , , and . AKBC, (2021)Extracting a Knowledge Base of Mechanisms from COVID-19 Papers., , , , , , , , and . NAACL-HLT, page 4489-4503. Association for Computational Linguistics, (2021)Knowledge-Intensive NLP for Real-World Information Needs. University of Washington, USA, (2023)Estimating the Causal Effect of Early ArXiving on Paper Acceptance., , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 913-933. PMLR, (2024)How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources., , , , , , , , , and 1 other author(s). NeurIPS, (2023)Fact or Fiction: Verifying Scientific Claims., , , , , , and . EMNLP (1), page 7534-7550. Association for Computational Linguistics, (2020)