🔗 Who cites «Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis»

1. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 297 citations
2. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
3. Planning with Large Language Models for Code GenerationarXiv:2303.05510Shun Zhang, Zhenfang Chen, Yikang Shen, et al.2023 · 90 citations
4. Learning to Infer Program SketchesarXiv:1902.06349Maxwell Nye, Luke Hewitt, Joshua Tenenbaum, et al.2019 · 53 citations
5. Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsarXiv:2205.14318Ansong Ni, Jeevana Priya Inala, Chenglong Wang, et al.2022 · 39 citations
6. SpreadsheetCoder: Formula Prediction from Semi-structured ContextarXiv:2106.15339Xinyun Chen, Petros Maniatis, Rishabh Singh, et al.2021 · 31 citations

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

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