---
title: "Who cites Why Exposure Bias Matters: An — 49 citing papers"
description: "49 papers of the Elamur Research library cite «Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language…"
canonical: "https://research.elamur.ai/free/en/papers/arora-2022-why-exposure-bias-matters-imitation/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Why Exposure Bias Matters: An Imitation Learning…](https://md.research.elamur.ai/free/en/papers/arora-2022-why-exposure-bias-matters-imitation/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/arora-2022-why-exposure-bias-matters-imitation/)

1. [**On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes arXiv:2306.13649**Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/)
2. [**How Language Model Hallucinations Can Snowball arXiv:2305.13534**Muru Zhang, Ofir Press, William Merrill, et al.*2023 · 222 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-language-model-hallucinations-snowball/)
3. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 168 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
4. **[BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 147 citations*
5. [**MiniLLM: On-Policy Distillation of Large Language Models arXiv:2306.08543**Yuxian Gu, Li Dong, Furu Wei, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/)
6. **[Deductive Verification of Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/ling-2023-deductive-verification-chain-thought-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhan Ling, Yunhao Fang, Xuanlin Li, et al.*2023 · 128 citations*
7. [**DistiLLM: Towards Streamlined Distillation for Large Language Models arXiv:2402.03898**Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/arora-2022-why-exposure-bias-matters-imitation/) — Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation