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Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor.

, , , and . ACL (1), page 14409-14428. Association for Computational Linguistics, (2023)

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LMentry: A Language Model Benchmark of Elementary Language Tasks., , and . CoRR, (2022)Surfacing Biases in Large Language Models using Contrastive Input Decoding., , , and . CoRR, (2023)Instruction Induction: From Few Examples to Natural Language Task Descriptions., , , and . ACL (1), page 1935-1952. Association for Computational Linguistics, (2023)Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor., , , and . ACL (1), page 14409-14428. Association for Computational Linguistics, (2023)LMentry: A Language Model Benchmark of Elementary Language Tasks., , and . ACL (Findings), page 10476-10501. Association for Computational Linguistics, (2023)Instruction Induction: From Few Examples to Natural Language Task Descriptions., , , and . CoRR, (2022)$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering., , , , , and . EMNLP (1), page 7856-7870. Association for Computational Linguistics, (2021)Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor., , , and . CoRR, (2022)A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains., , , , , , , , and . CoRR, (2024)DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering., , , , , and . CoRR, (2022)