A general path-based representation for predicting program properties. - Uri Alon 002; Meital Zilberstein; Omer Levy; Eran Yahav (PLDI, 2018)

code2seq: Generating Sequences from Structured Representations of Code. - Uri Alon 002; Omer Levy; Eran Yahav (CoRR, 2018)

Contextual Speech Recognition with Difficult Negative Training Examples. - Uri Alon 002; Golan Pundak; Tara N. Sainath (ICASSP, 2019)

code2seq: Generating Sequences from Structured Representations of Code. - Uri Alon 002; Shaked Brody; Omer Levy; Eran Yahav (ICLR (Poster), 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 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Neural Reverse Engineering of Stripped Binaries. - Yaniv David; Uri Alon 002; Eran Yahav (CoRR, 2019)

Structural Language Models for Any-Code Generation. - Uri Alon 002; Roy Sadaka; Omer Levy; Eran Yahav (CoRR, 2019)

code2vec: learning distributed representations of code. - Uri Alon 002; Meital Zilberstein; Omer Levy; Eran Yahav (Proc. ACM Program. Lang., 2019)

Structural Language Models of Code. - Uri Alon 002; Roy Sadaka; Omer Levy; Eran Yahav (ICML, 2020)

Neural Edit Completion. - Shaked Brody; Uri Alon 002; Eran Yahav (CoRR, 2020)

Single-Node Attack for Fooling Graph Neural Networks. - Ben Finkelshtein; Chaim Baskin; Evgenii Zheltonozhskii; Uri Alon 002 (CoRR, 2020)

A structural model for contextual code changes. - Shaked Brody; Uri Alon 002; Eran Yahav (Proc. ACM Program. Lang., 2020)

Neural reverse engineering of stripped binaries using augmented control flow graphs. - Yaniv David; Uri Alon 002; Eran Yahav (Proc. ACM Program. Lang., 2020)

Adversarial examples for models of code. - Noam Yefet; Uri Alon 002; Eran Yahav (Proc. ACM Program. Lang., 2020)

On the Bottleneck of Graph Neural Networks and its Practical Implications. - Uri Alon 002; Eran Yahav (ICLR, 2021)

Machine Learning for Programming Language Processing. - Uri Alon 002 (2021)

Oversquashing in GNNs through the lens of information contraction and graph expansion. - Pradeep Kr. Banerjee; Kedar Karhadkar; Yuguang Wang 001; Uri Alon 002; Guido Montúfar (Allerton, 2022)

Language Models of Code are Few-Shot Commonsense Learners. - Aman Madaan; Shuyan Zhou; Uri Alon 002; Yiming Yang; Graham Neubig (EMNLP, 2022)

How Attentive are Graph Attention Networks? - Shaked Brody; Uri Alon 002; Eran Yahav (ICLR, 2022)

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. - Uri Alon 002; Frank F. Xu; Junxian He; Sudipta Sengupta; Dan Roth; Graham Neubig (ICML, 2022)

A systematic evaluation of large language models of code. - Frank F. Xu; Uri Alon 002; Graham Neubig; Vincent Josua Hellendoorn (MAPS@PLDI, 2022)

DocCoder: Generating Code by Retrieving and Reading Docs. - Shuyan Zhou; Uri Alon 002; Frank F. Xu; Zhengbao Jiang; Graham Neubig (CoRR, 2022)

Single-node attacks for fooling graph neural networks. - Ben Finkelshtein; Chaim Baskin; Evgenii Zheltonozhskii; Uri Alon 002 (Neurocomputing, 2022)

On the Expressivity Role of LayerNorm in Transformers' Attention. - Shaked Brody; Uri Alon 002; Eran Yahav (ACL (Findings), 2023)

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. - Itzik Malkiel; Uri Alon 002; Yakir Yehuda; Shahar Keren; Oren Barkan; Royi Ronen; Noam Koenigstein (CIKM, 2023)

CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. - Shuyan Zhou; Uri Alon 002; Sumit Agarwal; Graham Neubig (EMNLP, 2023)

DocPrompting: Generating Code by Retrieving the Docs. - Shuyan Zhou; Uri Alon 002; Frank F. Xu; Zhengbao Jiang; Graham Neubig (ICLR, 2023)

PAL: Program-aided Language Models. - Luyu Gao; Aman Madaan; Shuyan Zhou; Uri Alon 002; Pengfei Liu 003; Yiming Yang; Jamie Callan; Graham Neubig (ICML, 2023)

Why do Nearest Neighbor Language Models Work? - Frank F. Xu; Uri Alon 002; Graham Neubig (ICML, 2023)

CAT-LM Training Language Models on Aligned Code And Tests. - Nikitha Rao; Kush Jain; Uri Alon 002; Claire Le Goues; Vincent J. Hellendoorn (ASE, 2023)

Unlimiformer: Long-Range Transformers with Unlimited Length Input. - Amanda Bertsch; Uri Alon 002; Graham Neubig; Matthew R. Gormley (NeurIPS, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

Contextual Predictive Mutation Testing. - Kush Jain; Uri Alon 002; Alex Groce; Claire Le Goues (ESEC/SIGSOFT FSE, 2023)

Learning Performance-Improving Code Edits. - Aman Madaan; Alexander Shypula; Uri Alon 002; Milad Hashemi; Parthasarathy Ranganathan; Yiming Yang; Graham Neubig; Amir Yazdanbakhsh (CoRR, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. - Itzik Malkiel; Uri Alon 002; Yakir Yehuda; Shahar Keren; Oren Barkan; Royi Ronen; Noam Koenigstein (CoRR, 2023)

WebArena: A Realistic Web Environment for Building Autonomous Agents. - Shuyan Zhou; Frank F. Xu; Hao Zhu 011; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Yonatan Bisk; Daniel Fried; Uri Alon 002; Graham Neubig (CoRR, 2023)

Universal Self-Consistency for Large Language Model Generation. - Xinyun Chen; Renat Aksitov; Uri Alon 002; Jie Ren; Kefan Xiao; Pengcheng Yin; Sushant Prakash; Charles Sutton; Xuezhi Wang 002; Denny Zhou (CoRR, 2023)

SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. - Itzik Malkiel; Uri Alon 002; Yakir Yehuda; Shahar Keren; Oren Barkan; Royi Ronen; Noam Koenigstein (ICASSP, 2024)

Learning Performance-Improving Code Edits. - Alexander Shypula; Aman Madaan; Yimeng Zeng; Uri Alon 002; Jacob R. Gardner; Yiming Yang; Milad Hashemi; Graham Neubig; Parthasarathy Ranganathan; Osbert Bastani; Amir Yazdanbakhsh (ICLR, 2024)

WebArena: A Realistic Web Environment for Building Autonomous Agents. - Shuyan Zhou; Frank F. Xu; Hao Zhu 011; Xuhui Zhou; Robert Lo; Abishek Sridhar; Xianyi Cheng; Tianyue Ou; Yonatan Bisk; Daniel Fried; Uri Alon 002; Graham Neubig (ICLR, 2024)

In-Context Principle Learning from Mistakes. - Tianjun Zhang; Aman Madaan; Luyu Gao; Steven Zheng; Swaroop Mishra; Yiming Yang; Niket Tandon; Uri Alon 002 (ICML, 2024)

Transformers Can Achieve Length Generalization But Not Robustly. - Yongchao Zhou; Uri Alon 002; Xinyun Chen; Xuezhi Wang 002; Rishabh Agarwal; Denny Zhou (CoRR, 2024)

In-Context Learning with Long-Context Models: An In-Depth Exploration. - Amanda Bertsch; Maor Ivgi; Uri Alon 002; Jonathan Berant; Matthew R. Gormley; Graham Neubig (CoRR, 2024)