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Interpretation of Natural Language Rules in Conversational Machine Reading.

, , , , , , , and . EMNLP, page 2087-2097. Association for Computational Linguistics, (2018)

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Human Feedback is not Gold Standard., , and . CoRR, (2023)Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity., , , , and . ACL (1), page 8086-8098. Association for Computational Linguistics, (2022)Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks., , , , , , , , , and . ACL (demo), page 174-181. Association for Computational Linguistics, (2022)Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation., , , , , , , , , and 5 other author(s). CoRR, (2024)Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity., , , , and . CoRR, (2021)Undersensitivity in Neural Reading Comprehension., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1152-1165. Association for Computational Linguistics, (2020)Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension., , , , and . CoRR, (2020)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models., , , , , , , , , and 3 other author(s). CoRR, (2023)Pre-trained Contextual Embeddings for Litigation Code Classification., , and . LegalAIIA@ICAIL, volume 2484 of CEUR Workshop Proceedings, page 38-45. CEUR-WS.org, (2019)