Pengcheng Yin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
13
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. | Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu |
| 2025 | ICLR | Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments. | Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan . Arik |
| 2024 | ICLR | ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. | Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton |
| 2024 | ICML | Unsupervised Evaluation of Code LLMs with Round-Trip Correctness. | Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin |
| 2024 | ICML | NExT: Teaching Large Language Models to Reason about Code Execution. | Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin |
| 2023 | ACL | Natural Language to Code Generation in Interactive Data Science Notebooks. | Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton |
| 2023 | EMNLP | SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. | Ruoxi Sun, Sercan . Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister |
| 2023 | ICML | Can Large Language Models Reason about Program Invariants? | Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin |
| 2022 | ACL | On The Ingredients of an Effective Zero-shot Semantic Parser. | Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig |
| 2022 | ACL | Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. | Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2021 | GLOBECOM | LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network. | Pengcheng Yin, Linning Peng, Junqing Zhang, Ming Liu, Hua Fu, Aiqun Hu |
| 2021 | ICLR | Learning Structural Edits via Incremental Tree Transformations. | Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig |
| 2021 | NAACL | Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention. | Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas |
| 2020 | AAAI | Merging Weak and Active Supervision for Semantic Parsing. | Ansong Ni, Pengcheng Yin, Graham Neubig |
| 2020 | ACL | Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. | Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig |
| 2020 | ACL | TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. | Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel |
| 2020 | WSDM | PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. | Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu |
| 2019 | ACL | Improving Open Information Extraction via Iterative Rank-Aware Learning. | Zhengbao Jiang, Pengcheng Yin, Graham Neubig |
| 2019 | ACL | Reranking for Neural Semantic Parsing. | Pengcheng Yin, Graham Neubig |
| 2019 | ICLR | Learning to Represent Edits. | Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt |
| 2018 | ACL | StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. | Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig |
| 2018 | CIKM | Towards Practical Open Knowledge Base Canonicalization. | Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, Pengcheng Yin |
| 2018 | EMNLP | Retrieval-Based Neural Code Generation. | Shirley Anugrah Hayati, Raphal Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig |
| 2018 | EMNLP | A Tree-based Decoder for Neural Machine Translation. | Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig |
| 2018 | EMNLP | TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. | Pengcheng Yin, Graham Neubig |
| 2018 | ICSE | Learning to mine parallel natural language/source code corpora from stack overflow. | Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig |
| 2018 | MSR | Learning to mine aligned code and natural language pairs from stack overflow. | Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig |
| 2017 | ACL | A Syntactic Neural Model for General-Purpose Code Generation. | Pengcheng Yin, Graham Neubig |
| 2016 | IJCAI | Neural Enquirer: Learning to Query Tables in Natural Language. | Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao |
| 2015 | CIKM | Answering Questions with Complex Semantic Constraints on Open Knowledge Bases. | Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou |
| 2015 | DaWaK | New Word Detection and Tagging on Chinese Twitter Stream. | Yuzhi Liang, Pengcheng Yin, Siu-Ming Yiu |