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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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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network., , , and . CoRR, (2018)Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study., , , , , and . AKBC, (2021)MetaICL: Learning to Learn In Context., , , and . NAACL-HLT, page 2791-2809. Association for Computational Linguistics, (2022)Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts., , , , , , , , , and 1 other author(s). NAACL-HLT, page 3631-3643. Association for Computational Linguistics, (2022)Probing Contextual Language Models for Common Ground with Visual Representations., , , and . NAACL-HLT, page 5367-5377. Association for Computational Linguistics, (2021)Patching open-vocabulary models by interpolating weights., , , , , , , and . NeurIPS, (2022)DeLighT: Deep and Light-weight Transformer., , , , and . ICLR, OpenReview.net, (2021)Talking to the crowd: What do people react to in online discussions?, , , , and . EMNLP, page 2026-2031. The Association for Computational Linguistics, (2015)Evaluating Models' Local Decision Boundaries via Contrast Sets., , , , , , , , , and 16 other author(s). EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1307-1323. Association for Computational Linguistics, (2020)Self-Instruct: Aligning Language Models with Self-Generated Instructions., , , , , , and . ACL (1), page 13484-13508. Association for Computational Linguistics, (2023)