Yin, Pengcheng

18 publications

ICLR 2025 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 O Arik

ICLR 2025 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

ICLR 2024 ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton

ICML 2024 NExT: Teaching Large Language Models to Reason About Code Execution Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin

TMLR 2024 SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister

NeurIPS 2024 Spider2-V: How Far Are Multimodal Agents from Automating Data Science and Engineering Workflows? Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

NeurIPS 2024 UQE: A Query Engine for Unstructured Databases Hanjun Dai, Bethany Yixin Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans

ICMLW 2024 Universal Self-Consistency for Large Language Models Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

ICML 2024 Unsupervised Evaluation of Code LLMs with Round-Trip Correctness Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin

ICML 2023 Can Large Language Models Reason About Program Invariants? Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin

NeurIPSW 2023 Grounding Code Generation with Input-Output Specifications Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov

JMLR 2023 PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel

ICLRW 2022 Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

ICLRW 2022 Learning to Superoptimize Real-World Programs Alexander G Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig

ICLR 2021 Learning Structural Edits via Incremental Tree Transformations Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig

AAAI 2020 Merging Weak and Active Supervision for Semantic Parsing Ansong Ni, Pengcheng Yin, Graham Neubig

ICLR 2019 Learning to Represent Edits Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt

IJCAI 2016 Neural Enquirer: Learning to Query Tables in Natural Language Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao