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Information-Theoretic Distillation for Reference-less Summarization.

, , , , , , и . CoRR, (2024)

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Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision., , , и . AAAI, стр. 12592-12601. AAAI Press, (2021)Is Everything in Order? A Simple Way to Order Sentences., , и . EMNLP (1), стр. 10769-10779. Association for Computational Linguistics, (2021)Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision., , , и . CoRR, (2020)Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs., , , , , , и . CoRR, (2023)Agent Lumos: Unified and Modular Training for Open-Source Language Agents., , , , , , и . ACL (1), стр. 12380-12403. Association for Computational Linguistics, (2024)Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model., , , , , , , и . NAACL-HLT, стр. 4439-4454. Association for Computational Linguistics, (2024)PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning., , , , , , , , , и . ICLR, OpenReview.net, (2024)“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding, , , , , и . Findings of the Association for Computational Linguistics: EMNLP 2021, Association for Computational Linguistics, (2021)STEER: Unified Style Transfer with Expert Reinforcement., , , , , и . EMNLP (Findings), стр. 7546-7562. Association for Computational Linguistics, (2023)PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning., , , , , , , , , и . CoRR, (2023)