---
title: "Who cites Leveraging Grammar and — 24 citing papers"
description: "24 papers of the Elamur Research library cite «Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis», found in their…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/bunel-2018-leveraging-grammar-reinforcement-learning-neural/)

1. **[CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.*2022 · 297 citations*
2. **[InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback](https://md.research.elamur.ai/free/en/papers/yang-2023-intercode-standardizing-benchmarking-interactive-coding/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.*2023 · 95 citations*
3. [**Planning with Large Language Models for Code Generation arXiv:2303.05510**Shun Zhang, Zhenfang Chen, Yikang Shen, et al.*2023 · 90 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-planning-large-language-models-code/)
4. [**Learning to Infer Program Sketches arXiv:1902.06349**Maxwell Nye, Luke Hewitt, Joshua Tenenbaum, et al.*2019 · 53 citations*](https://md.research.elamur.ai/free/en/papers/nye-2019-learning-infer-program-sketches/)
5. [**Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions arXiv:2205.14318**Ansong Ni, Jeevana Priya Inala, Chenglong Wang, et al.*2022 · 39 citations*](https://md.research.elamur.ai/free/en/papers/ni-2022-learning-math-reasoning-self-sampled/)
6. [**SpreadsheetCoder: Formula Prediction from Semi-structured Context arXiv:2106.15339**Xinyun Chen, Petros Maniatis, Rishabh Singh, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-spreadsheetcoder-formula-prediction-semi-structured/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bunel-2018-leveraging-grammar-reinforcement-learning-neural/) — Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis