Alon, Uri

21 publications

ICMLW 2024 In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig

ICML 2024 In-Context Principle Learning from Mistakes Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon

ICMLW 2024 In-Context Principle Learning from Mistakes Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zhang, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon

ICLR 2024 Learning Performance-Improving Code Edits Alexander G Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh

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

ICLR 2024 WebArena: A Realistic Web Environment for Building Autonomous Agents Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig

ICLR 2023 DocPrompting: Generating Code by Retrieving the Docs Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig

ICML 2023 PAL: Program-Aided Language Models Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

NeurIPS 2023 Self-Refine: Iterative Refinement with Self-Feedback Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark

NeurIPS 2023 Unlimiformer: Long-Range Transformers with Unlimited Length Input Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley

NeurIPSW 2023 WebArena: A Realistic Web Environment for Building Autonomous Agents Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig

NeurIPSW 2023 WebArena: A Realistic Web Environment for Building Autonomous Agents Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig

ICML 2023 Why Do Nearest Neighbor Language Models Work? Frank F. Xu, Uri Alon, Graham Neubig

ICLRW 2022 A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn

ICLR 2022 How Attentive Are Graph Attention Networks? Shaked Brody, Uri Alon, Eran Yahav

ICML 2022 Neuro-Symbolic Language Modeling with Automaton-Augmented Retrieval Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

ICMLW 2022 Neuro-Symbolic Language Modeling with Automaton-Augmented Retrieval Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

ICLR 2021 On the Bottleneck of Graph Neural Networks and Its Practical Implications Uri Alon, Eran Yahav

ICML 2020 Structural Language Models of Code Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav

ICLR 2019 Code2seq: Generating Sequences from Structured Representations of Code Uri Alon, Shaked Brody, Omer Levy, Eran Yahav