🧑‍🔬 Pengcheng Yin — all works

28 works · ← Pengcheng Yin

1. A Syntactic Neural Model for General-Purpose Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Graham Neubig2017 · 788 citations
2. TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataAnnual Meeting of the Association for Computational Linguistics (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 ModelsConference on Empirical Methods in Natural Language Processing (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 OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
5. TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetPengcheng Yin, Graham Neubig2018 · 274 citations
6. Retrieval-Based Neural Code Generation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetShirley Anugrah Hayati et al.2018 · 122 citations
7. StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengcheng Yin et al.2018 · 122 citations
8. DIRE: A Neural Approach to Decompiled Identifier Naming ↗IEEE/ACM International Conference on Automated Software Engineering (ASE) · no summary yetJeremy Lacomis et al.2019 · 102 citations
9. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
10. Learning to Represent Edits ↗arXiv:1810.13337 · no summary yetPengcheng Yin et al.2018 · 91 citations
11. Reranking for Neural Semantic Parsing ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetPengcheng Yin, Graham Neubig2019 · 88 citations
12. Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetFrank F. Xu et al.2020 · 86 citations
13. A Tree-based Decoder for Neural Machine Translation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetXinyi Wang et al.2018 · 77 citations
14. Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetPengcheng Yin et al.2021 · 72 citations
15. Natural Language to Code Generation in Interactive Data Science NotebooksAnnual Meeting of the Association for Computational Linguistics (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 ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShuyan Zhou et al.2022 · 34 citations
17. NExT: Teaching Large Language Models to Reason about Code Execution ↗arXiv:2404.14662 · no summary yetAnsong Ni et al.2024 · 30 citations
18. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.2024 · 27 citations
19. On The Ingredients of an Effective Zero-shot Semantic Parser ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengcheng Yin et al.2022 · 21 citations
20. Merging Weak and Active Supervision for Semantic Parsing ↗arXiv:1911.12986 · no summary yetAnsong Ni, Pengcheng Yin, Graham Neubig2019 · 21 citations
21. Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML ↗arXiv (Cornell University) · no summary yetXuezhe Ma et al.2017 · 18 citations
22. Learning Structural Edits via Incremental Tree Transformations ↗arXiv (Cornell University) · no summary yetZiyu Yao et al.2021 · 16 citations
23. Improving Open Information Extraction via Iterative Rank-Aware Learning ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetZhengbao Jiang, Pengcheng Yin, Graham Neubig2019 · 15 citations
24. Hierarchical Control of Situated Agents through Natural Language ↗Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI) · no summary yetShuyan Zhou, Pengcheng Yin, Graham Neubig2022 · 11 citations
25. ProgramBench: Can Language Models Rebuild Programs From Scratch? ↗arXiv (Cornell University) · no summary yetJohn Yang et al.2026 · 7 citations
26. Learning to mine parallel natural language/source code corpora from stack overflow ↗no summary yetPengcheng Yin et al.2018 · 7 citations
27. Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language ↗arXiv (Cornell University) · no summary yetShuyan Zhou, Pengcheng Yin, Graham Neubig2021 · 3 citations
28. Learning to Superoptimize Real-world Programs ↗arXiv (Cornell University) · no summary yetAlexander Shypula et al.2021 · 2 citations

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