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Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity., , , , и . ACL (1), стр. 8086-8098. Association for Computational Linguistics, (2022)Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks., , , , , , , , , и . ACL (demo), стр. 174-181. Association for Computational Linguistics, (2022)Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation., , , , , , , , , и 5 other автор(ы). FAccT, стр. 388-406. ACM, (2024)Improving Reward Models with Synthetic Critiques., , , , , и . CoRR, (2024)The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2024)Aya 23: Open Weight Releases to Further Multilingual Progress., , , , , , , , , и 11 other автор(ы). CoRR, (2024)Undersensitivity in Neural Reading Comprehension., , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1152-1165. Association for Computational Linguistics, (2020)Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension., , , , и . CoRR, (2020)Pre-trained Contextual Embeddings for Litigation Code Classification., , и . LegalAIIA@ICAIL, том 2484 из CEUR Workshop Proceedings, стр. 38-45. CEUR-WS.org, (2019)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , и 28 other автор(ы). CoRR, (2023)