Chen, Xinyun

42 publications

ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik

ICML 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

ICLRW 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

ICML 2024 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

ICLR 2024 Large Language Models Cannot Self-Correct Reasoning yet Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou

ICLR 2024 Large Language Models as Analogical Reasoners Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou

ICLR 2024 Large Language Models as Optimizers Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, Xinyun Chen

ICLR 2024 Large Language Models as Tool Makers Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou

ICLR 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

NeurIPSW 2024 On Memorization of Large Language Models in Logical Reasoning Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar

ICML 2024 Premise Order Matters in Reasoning with Large Language Models Xinyun Chen, Ryan Andrew Chi, Xuezhi Wang, Denny Zhou

NeurIPS 2024 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng

JMLR 2024 Scaling Instruction-Finetuned Language Models Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

ICLR 2024 Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V Le, Denny Zhou

ICLR 2024 Teaching Large Language Models to Self-Debug Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou

ICLRW 2024 Transformers Can Achieve Length Generalization but Not Robustly Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou

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

NeurIPSW 2023 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

ICLR 2023 Compositional Semantic Parsing with Large Language Models Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou

ICML 2023 Large Language Models Can Be Easily Distracted by Irrelevant Context Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou

AAAI 2022 Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

UAI 2022 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

AISTATS 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian

ICML 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou

NeurIPS 2021 Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages Xinyun Chen, Dawn Song, Yuandong Tian

ICML 2021 Learn-to-Share: A Hardware-Friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao

ICML 2021 SpreadsheetCoder: Formula Prediction from Semi-Structured Context Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

NeurIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

ICLR 2020 Deep Symbolic Superoptimization Without Human Knowledge Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao

ICLR 2020 Infinite-Horizon Off-Policy Policy Evaluation with Multiple Behavior Policies Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

ICLR 2020 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

ECCV 2020 Spatiotemporal Attacks for Embodied Agents Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

NeurIPS 2020 Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song

NeurIPS 2019 Coda: An End-to-End Neural Program Decompiler Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao

ICLR 2019 Execution-Guided Neural Program Synthesis Xinyun Chen, Chang Liu, Dawn Song

NeurIPS 2019 Learning to Perform Local Rewriting for Combinatorial Optimization Xinyun Chen, Yuandong Tian

ICLR 2018 Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen, Chang Liu, Dawn Song

NeurIPS 2018 Tree-to-Tree Neural Networks for Program Translation Xinyun Chen, Chang Liu, Dawn Song

ICLR 2017 Delving into Transferable Adversarial Examples and Black-Box Attacks Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song

NeurIPS 2016 Latent Attention for If-Then Program Synthesis Chang Liu, Xinyun Chen, Eui Chul Shin, Mingcheng Chen, Dawn Song