Uri Alon

According to our database, Uri Alon authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transformers Can Achieve Length Generalization But Not Robustly.

Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou

CoRR, 2024

In-Context Principle Learning from Mistakes.

Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon

CoRR, 2024

2023

Universal Self-Consistency for Large Language Model Generation.

Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

CoRR, 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, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig

CoRR, 2023

GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models.

Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

CoRR, 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, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

Learning Performance-Improving Code Edits.

Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh

CoRR, 2023

Contextual Predictive Mutation Testing.

Kush Jain, Uri Alon, Alex Groce, Claire Le Goues

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unlimiformer: Long-Range Transformers with Unlimited Length Input.

Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CAT-LM Training Language Models on Aligned Code And Tests.

Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Why do Nearest Neighbor Language Models Work?

Frank F. Xu, Uri Alon, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2023

PAL: Program-aided Language Models.

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2023

DocPrompting: Generating Code by Retrieving the Docs.

Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code.

Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales.

Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

On the Expressivity Role of LayerNorm in Transformers' Attention.

Shaked Brody, Uri Alon, Eran Yahav

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Single-node attacks for fooling graph neural networks.

Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon

Neurocomputing, 2022

DocCoder: Generating Code by Retrieving and Reading Docs.

Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig

CoRR, 2022

A systematic evaluation of large language models of code.

Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval.

Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2022

How Attentive are Graph Attention Networks?

Shaked Brody, Uri Alon, Eran Yahav

Proceedings of the Tenth International Conference on Learning Representations, 2022

Language Models of Code are Few-Shot Commonsense Learners.

Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Oversquashing in GNNs through the lens of information contraction and graph expansion.

Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Machine Learning for Programming Language Processing.

Uri Alon

PhD thesis, 2021

On the Bottleneck of Graph Neural Networks and its Practical Implications.

Uri Alon, Eran Yahav

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adversarial examples for models of code.

Noam Yefet, Uri Alon, Eran Yahav

Proc. ACM Program. Lang., 2020

Neural reverse engineering of stripped binaries using augmented control flow graphs.

Yaniv David, Uri Alon, Eran Yahav

Proc. ACM Program. Lang., 2020

A structural model for contextual code changes.

Shaked Brody, Uri Alon, Eran Yahav

Proc. ACM Program. Lang., 2020

Single-Node Attack for Fooling Graph Neural Networks.

Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon

CoRR, 2020

Neural Edit Completion.

Shaked Brody, Uri Alon, Eran Yahav

CoRR, 2020

Structural Language Models of Code.

Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

code2vec: learning distributed representations of code.

Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav

Proc. ACM Program. Lang., 2019

Structural Language Models for Any-Code Generation.

Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav

CoRR, 2019

Neural Reverse Engineering of Stripped Binaries.

Yaniv David, Uri Alon, Eran Yahav

CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

code2seq: Generating Sequences from Structured Representations of Code.

Uri Alon, Shaked Brody, Omer Levy, Eran Yahav

Proceedings of the 7th International Conference on Learning Representations, 2019

Contextual Speech Recognition with Difficult Negative Training Examples.

Uri Alon, Golan Pundak, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

code2seq: Generating Sequences from Structured Representations of Code.

Uri Alon, Omer Levy, Eran Yahav

CoRR, 2018

A general path-based representation for predicting program properties.

Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018