🔗 Who cites «Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation»

49 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation»

1. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
2. How Language Model Hallucinations Can SnowballarXiv:2305.13534Muru Zhang, Ofir Press, William Merrill, et al.2023 · 222 citations
3. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 168 citations
   BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
4. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
   Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
5. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations

42 more papers of our library cite it; they have no page here yet.

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