🔗 Who cites «RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs»

59 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs»

1. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
2. MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
3. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
4. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsRyo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 159 citations
5. Training Language Models to Self-Correct via Reinforcement LearningAviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 151 citations
6. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesLiangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
7. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
8. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
9. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 77 citations

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

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