---
title: "Pengcheng Yin — all works — Elamur Research"
description: "All 28 works of Pengcheng Yin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/pengcheng-yin/works/"
---
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# Pengcheng Yin — all works

28 works · [← Pengcheng Yin](https://md.research.elamur.ai/free/en/authors/pengcheng-yin/)

1. **[A Syntactic Neural Model for General-Purpose Code Generation](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig*2017 · 788 citations*
2. **[TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.*2020 · 692 citations*
3. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 407 citations*
4. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow arXiv:1805.08949**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 308 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/)
5. **[TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation ↗](https://aclanthology.org/D18-2002/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Pengcheng Yin, Graham Neubig*2018 · 274 citations*
6. **[Retrieval-Based Neural Code Generation ↗](https://aclanthology.org/D18-1111/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shirley Anugrah Hayati et al.*2018 · 122 citations*
7. **[StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ↗](https://aclanthology.org/P18-1070/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengcheng Yin et al.*2018 · 122 citations*
8. **[DIRE: A Neural Approach to Decompiled Identifier Naming ↗](https://doi.org/10.1109/ase.2019.00064) IEEE/ACM International Conference on Automated Software Engineering (ASE) · no summary yet**Jeremy Lacomis et al.*2019 · 102 citations*
9. [**Universal Self-Consistency for Large Language Model Generation arXiv:2311.17311**Xinyun Chen, Renat Aksitov, Uri Alon, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-universal-self-consistency-large-language/)
10. **[Learning to Represent Edits ↗](https://arxiv.org/abs/1810.13337) arXiv:1810.13337 · no summary yet**Pengcheng Yin et al.*2018 · 91 citations*
11. **[Reranking for Neural Semantic Parsing ↗](https://aclanthology.org/P19-1447/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Pengcheng Yin, Graham Neubig*2019 · 88 citations*
12. **[Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ↗](https://aclanthology.org/2020.acl-main.538/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Frank F. Xu et al.*2020 · 86 citations*
13. **[A Tree-based Decoder for Neural Machine Translation ↗](https://aclanthology.org/D18-1509/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xinyi Wang et al.*2018 · 77 citations*
14. **[Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention ↗](https://aclanthology.org/2021.naacl-main.225/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Pengcheng Yin et al.*2021 · 72 citations*
15. **[Natural Language to Code Generation in Interactive Data Science Notebooks](https://md.research.elamur.ai/free/en/papers/yin-2023-natural-language-code-generation-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.*2023 · 63 citations*
16. **[Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data ↗](https://aclanthology.org/2022.acl-long.214/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shuyan Zhou et al.*2022 · 34 citations*
17. **[NExT: Teaching Large Language Models to Reason about Code Execution ↗](https://arxiv.org/abs/2404.14662) arXiv:2404.14662 · no summary yet**Ansong Ni et al.*2024 · 30 citations*
18. **[L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2024-l2ceval-evaluating-language-code-generation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.*2024 · 27 citations*
19. **[On The Ingredients of an Effective Zero-shot Semantic Parser ↗](https://aclanthology.org/2022.acl-long.103/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengcheng Yin et al.*2022 · 21 citations*
20. **[Merging Weak and Active Supervision for Semantic Parsing ↗](https://arxiv.org/abs/1911.12986) arXiv:1911.12986 · no summary yet**Ansong Ni, Pengcheng Yin, Graham Neubig*2019 · 21 citations*
21. **[Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML ↗](https://arxiv.org/abs/1705.07136) arXiv (Cornell University) · no summary yet**Xuezhe Ma et al.*2017 · 18 citations*
22. **[Learning Structural Edits via Incremental Tree Transformations ↗](https://arxiv.org/abs/2101.12087) arXiv (Cornell University) · no summary yet**Ziyu Yao et al.*2021 · 16 citations*
23. **[Improving Open Information Extraction via Iterative Rank-Aware Learning ↗](https://aclanthology.org/P19-1523/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhengbao Jiang, Pengcheng Yin, Graham Neubig*2019 · 15 citations*
24. **[Hierarchical Control of Situated Agents through Natural Language ↗](https://aclanthology.org/2022.suki-1.8/) Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI) · no summary yet**Shuyan Zhou, Pengcheng Yin, Graham Neubig*2022 · 11 citations*
25. **[ProgramBench: Can Language Models Rebuild Programs From Scratch? ↗](https://arxiv.org/abs/2605.03546) arXiv (Cornell University) · no summary yet**John Yang et al.*2026 · 7 citations*
26. **[Learning to mine parallel natural language/source code corpora from stack overflow ↗](https://doi.org/10.1145/3183440.3195021) no summary yet**Pengcheng Yin et al.*2018 · 7 citations*
27. **[Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language ↗](https://arxiv.org/abs/2109.08214) arXiv (Cornell University) · no summary yet**Shuyan Zhou, Pengcheng Yin, Graham Neubig*2021 · 3 citations*
28. **[Learning to Superoptimize Real-world Programs ↗](https://arxiv.org/abs/2109.13498) arXiv (Cornell University) · no summary yet**Alexander Shypula et al.*2021 · 2 citations*