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Describing Differences between Text Distributions with Natural Language.

, , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27099-27116. PMLR, (2022)

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The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification?, , , , , and . CogSci, cognitivesciencesociety.org, (2021)Offline RL for Natural Language Generation with Implicit Language Q Learning., , , , and . ICLR, OpenReview.net, (2023)Offline RL for Natural Language Generation with Implicit Language Q Learning., , , , and . CoRR, (2022)The False Promise of Imitating Proprietary LLMs., , , , , , , and . CoRR, (2023)Context-Aware Language Modeling for Goal-Oriented Dialogue Systems., , , , and . NAACL-HLT (Findings), page 2351-2366. Association for Computational Linguistics, (2022)Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters., , , and . CoRR, (2024)The False Promise of Imitating Proprietary Language Models., , , , , , , and . ICLR, OpenReview.net, (2024)Describing Differences between Text Distributions with Natural Language., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27099-27116. PMLR, (2022)Learning by Distilling Context., , and . CoRR, (2022)LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models., , , , , , , and . CoRR, (2023)