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Who cites «Write, Execute, Assess: Program Synthesis with a REPL»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Write, Execute, Assess: Program Synthesis with a REPL»

  1. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
  2. Identifying the Risks of LM Agents with an LM-Emulated SandboxarXiv:2309.15817Yangjun Ruan, Honghua Dong, Andrew Wang, et al.2023 · 96 citations
  3. Planning with Large Language Models for Code GenerationarXiv:2303.05510Shun Zhang, Zhenfang Chen, Yikang Shen, et al.2023 · 90 citations
  4. Structural Language Models of CodearXiv:1910.00577Uri Alon, Roy Sadaka, Omer Levy, et al.2019 · 55 citations
  5. Execution-based Code Generation using Deep Reinforcement LearningTransactions on Machine Learning ResearchParshin Shojaee, Aneesh Jain, Sindhu Tipirneni, et al.2023 · 47 citations
  6. Fault-Aware Neural Code RankersConference on Neural Information Processing Systems (NeurIPS)Jeevana Priya Inala, Chenglong Wang, Mei Yang, et al.2022 · 39 citations
  7. Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsarXiv:2205.14318Ansong Ni, Jeevana Priya Inala, Chenglong Wang, et al.2022 · 39 citations
  8. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations

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

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