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Language Model Decoding as Likelihood-Utility Alignment., , , , , , , , , и . EACL (Findings), стр. 1425-1440. Association for Computational Linguistics, (2023)A Length-Extrapolatable Transformer., , , , , , , , и . ACL (1), стр. 14590-14604. Association for Computational Linguistics, (2023)The Hitchhiker's Guide to Human Alignment with *PO., , , , , , и . CoRR, (2024)Weakly Supervised Attention Networks for Entity Recognition., и . EMNLP/IJCNLP (1), стр. 6267-6272. Association for Computational Linguistics, (2019)On the Representation Collapse of Sparse Mixture of Experts., , , , , , , , , и 2 other автор(ы). NeurIPS, (2022)Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world., , , , , и . ACL (tutorial), стр. 21-26. Association for Computational Linguistics, (2023)Language Is Not All You Need: Aligning Perception with Language Models., , , , , , , , , и 8 other автор(ы). CoRR, (2023)sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting., , , , , , , , , и 2 other автор(ы). CoRR, (2024)Efficient LLM Training and Serving with Heterogeneous Context Sharding among Attention Heads., , , , , и . CoRR, (2024)To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints., , , и . EMNLP (1), стр. 8445-8455. Association for Computational Linguistics, (2020)