Xinyun Chen

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 117

Top Venues

Publications

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
Large Language Models as Tool Makers. ICLR (2024)
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. CoRR (2024)
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (2024)
Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou
Premise Order Matters in Reasoning with Large Language Models. CoRR (2024)
Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou
Transformers Can Achieve Length Generalization But Not Robustly. CoRR (2024)
Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR (2024)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. ICLR (2024)
Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou
Teaching Large Language Models to Self-Debug. ICLR (2024)
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
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR (2024)
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
Vulnerability Detection with Code Language Models: How Far Are We? CoRR (2024)
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Large Language Models as Analogical Reasoners. ICLR (2024)
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. ICLR (2024)
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
Large Language Models Cannot Self-Correct Reasoning Yet. ICLR (2024)
Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR (2024)
Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein
BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge. CoRR (2023)
Xinyun Chen, Guiyu Hong
Steady-State Analysis and Online Learning for Queues with Hawkes Arrivals. CoRR (2023)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. CoRR (2023)
Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Large Language Models as Analogical Reasoners. CoRR (2023)
Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le
Symbol tuning improves in-context learning in language models. EMNLP (2023)
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
Universal Self-Consistency for Large Language Model Generation. CoRR (2023)
Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. RAID (2023)
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR (2023)
Xinyun Chen, Yunan Liu, Guiyu Hong
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution. CoRR (2023)
Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
Large Language Models can Learn Rules. CoRR (2023)
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR (2023)
Maura Pintor, Florian Simon Tramèr, Xinyun Chen
AISec '23: 16th ACM Workshop on Artificial Intelligence and Security. CCS (2023)
Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie
Unsupervised Adaptive Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Yujian Gan, Xinyun Chen, Matthew Purver
Re-appraising the Schema Linking for Text-to-SQL. ACL (Findings) (2023)
Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. CoRR (2023)
Jerry W. Wei, Le Hou, Andrew Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le
Symbol tuning improves in-context learning in language models. CoRR (2023)
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
Large Language Models as Tool Makers. CoRR (2023)
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
Large Language Models Can Be Easily Distracted by Irrelevant Context. ICML (2023)
Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma
Larger language models do in-context learning differently. CoRR (2023)
Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou
Teaching Large Language Models to Self-Debug. CoRR (2023)
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
Large Language Models Cannot Self-Correct Reasoning Yet. CoRR (2023)
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 Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. CoRR (2023)
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
Compositional Semantic Parsing with Large Language Models. ICLR (2023)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Jin Guang, Guiyu Hong, Xinyun Chen, Xi Peng, Li Chen, Bo Bai, Gong Zhang
Tail Quantile Estimation for Non-Preemptive Priority Queues. WSC (2022)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD (2022)
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
Scaling Instruction-Finetuned Language Models. CoRR (2022)
Xinyun Chen, Jim G. Dai, Sergey Foss
Editorial introduction to the special issue "Masakiyo Miyazawa - 75". Queueing Syst. Theory Appl. 102 (1-2) (2022)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment. CoRR (2022)
Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song
Benchmarking Language Models for Code Syntax Understanding. CoRR (2022)
Xinyun Chen, Pengyi Shi, Shanwen Pu
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention. CoRR (2022)
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. AAAI (2022)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment. NAACL-HLT (Findings) (2022)
Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song
Perturbation type categorization for multiple adversarial perturbation robustness. UAI (2022)
Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song
Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) (2022)
Ambra Demontis, Xinyun Chen, Florian Tramèr
AISec '22: 15th ACM Workshop on Artificial Intelligence and Security. CCS (2022)
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
Compositional Semantic Parsing with Large Language Models. CoRR (2022)
Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
Competition-Level Code Generation with AlphaCode. CoRR (2022)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang
Towards Robustness of Text-to-SQL Models against Synonym Substitution. ACL/IJCNLP (1) (2021)
Yihan Pan, Zhenghang Xu, Jin Guang, Xinyun Chen, Jim G. Dai, Chengwenjian Wang, Xuanming Zhang, Jingjing Sun, Pengyi Shi, Yichuan Ding, Song Wu, Kai Yang, Hongxin Pan
A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations. WSC (2021)
Xinyun Chen, Dawn Song, Yuandong Tian
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. NeurIPS (2021)
Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. CoRR (2021)
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian
Understanding Robustness in Teacher-Student Setting: A New Perspective. AISTATS (2021)
Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. ICML (2021)
Yujian Gan, Xinyun Chen, Matthew Purver
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization. CoRR (2021)
Yujian Gan, Xinyun Chen, Matthew Purver
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization. EMNLP (1) (2021)
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian
Understanding Robustness in Teacher-Student Setting: A New Perspective. CoRR (2021)
Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou
SpreadsheetCoder: Formula Prediction from Semi-structured Context. CoRR (2021)
Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and Explanations. CoRR (2021)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML (2021)
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang
Towards Robustness of Text-to-SQL Models against Synonym Substitution. CoRR (2021)
Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen
A Note on General Statistics of Publicly Accessible Knowledge Bases. CoRR (2021)
Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context. ACL/IJCNLP (1) (2021)
Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia (2021)
Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. EMNLP (Findings) (2021)
Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. CoRR (2021)
Yihan Pan, Zhenghang Xu, Jin Guang, Jingjing Sun, Chengwenjian Wang, Xuanming Zhang, Xinyun Chen, Jim G. Dai, Yichuan Ding, Pengyi Shi, Hongxin Pan, Kai Yang, Song Wu
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations. CoRR (2021)
Xinyun Chen, Dawn Song, Yuandong Tian
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. CoRR (2021)
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. CoRR (2021)
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. AsiaCCS (2021)
Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR (2021)
Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou
SpreadsheetCoder: Formula Prediction from Semi-structured Context. ICML (2021)
Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR (2020)
Jose H. Blanchet, Xinyun Chen
Rates of Convergence to Stationarity for Reflected Brownian Motion. Math. Oper. Res. 45 (2) (2020)
Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. ICLR (2020)
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. NeurIPS (2020)
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS (2020)
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR (2020)
Xinyun Chen, Xiuwen Wang
Perfect Sampling of Multivariate Hawkes Processes. WSC (2020)
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. CoRR (2020)
Yousheng Zhou, Xinyun Chen, Meihuan Chen
Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid. Secur. Commun. Networks 2020 (2020)
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR (2020)
Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao
Deep Symbolic Superoptimization Without Human Knowledge. ICLR (2020)
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
Adversarial Attacks for Embodied Agents. CoRR (2020)
Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR (2020)
Yousheng Zhou, Xinyun Chen
An Anonymous and Efficient ECC-Based Authentication Scheme for SIP. Wirel. Commun. Mob. Comput. 2020 (2020)
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
Spatiotemporal Attacks for Embodied Agents. ECCV (17) (2020)
Yuanyuan Gui, Wei Li, Yanan Wang, Anzhi Yue, Ying Pu, Xinyun Chen
Woodland Detection Using Most-Sure Strategy to Fuse Segmentation Results of Deep Learning. IGARSS (2019)
Xinyun Chen, Yuandong Tian
Learning to Perform Local Rewriting for Combinatorial Optimization. NeurIPS (2019)
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao
A Neural-based Program Decompiler. CoRR (2019)
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. CoRR (2019)
Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao
Coda: An End-to-End Neural Program Decompiler. NeurIPS (2019)
Jose H. Blanchet, Xinyun Chen
Perfect Sampling of Generalized Jackson Networks. Math. Oper. Res. 44 (2) (2019)
Xinyun Chen, Chang Liu, Dawn Song
Execution-Guided Neural Program Synthesis. ICLR (Poster) (2019)
Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. CoRR (2019)

Xinyun Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xinyun Chen