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Language Model Decoding as Likelihood-Utility Alignment.

, , , , , , , , , and . EACL (Findings), page 1425-1440. Association for Computational Linguistics, (2023)

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Invariant Language Modeling., , , , , , , and . CoRR, (2021)A Length-Extrapolatable Transformer., , , , , , , , and . CoRR, (2022)Language Model Decoding as Likelihood-Utility Alignment., , , , , , , , , and . EACL (Findings), page 1425-1440. Association for Computational Linguistics, (2023)A Length-Extrapolatable Transformer., , , , , , , , and . ACL (1), page 14590-14604. Association for Computational Linguistics, (2023)Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world., , , , , and . ACL (tutorial), page 21-26. Association for Computational Linguistics, (2023)On the Representation Collapse of Sparse Mixture of Experts., , , , , , , , , and 2 other author(s). NeurIPS, (2022)Weakly Supervised Attention Networks for Entity Recognition., and . EMNLP/IJCNLP (1), page 6267-6272. Association for Computational Linguistics, (2019)To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints., , , and . EMNLP (1), page 8445-8455. Association for Computational Linguistics, (2020)A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia., , , , , , , , and . CoRR, (2023)Language Model Decoding as Likelihood-Utility Alignment., , , , , , , , , and 1 other author(s). CoRR, (2022)