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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral.

, , , , , and . CoRR, (2021)

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Neural Text Generation With Unlikelihood Training., , , , , and . ICLR, OpenReview.net, (2020)Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations., , , , , , and . EMNLP, page 1266-1279. Association for Computational Linguistics, (2022)COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics., , , and . NeurIPS, (2022)Generating Sequences by Learning to Self-Correct., , , , , , and . ICLR, OpenReview.net, (2023)Llemma: An Open Language Model For Mathematics., , , , , , , , and . CoRR, (2023)LLMSTEP: LLM proofstep suggestions in Lean., and . CoRR, (2023)Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals., , , , , and . NeurIPS, page 12930-12942. (2021)QUARK: Controllable Text Generation with Reinforced Unlearning., , , , , , , and . NeurIPS, (2022)MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers., , , , , , and . NeurIPS, page 4816-4828. (2021)Generated Knowledge Prompting for Commonsense Reasoning., , , , , , , and . ACL (1), page 3154-3169. Association for Computational Linguistics, (2022)