Uri Alon - RankMe

64 papers A* 16A 1Misc 2Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated High-Level Code Optimization for Warehouse Performance. IEEE Micro Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
2025	—	`conf`	In-Context Learning with Long-Context Models: An In-Depth Exploration. NAACL (Long Papers) Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig
2024	J	`jnl`	In-Context Learning with Long-Context Models: An In-Depth Exploration. CoRR Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig
2024	A*	`conf`	In-Context Principle Learning from Mistakes. ICML Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	J	`jnl`	In-Context Principle Learning from Mistakes. CoRR Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon
2024	A*	`conf`	Learning Performance-Improving Code Edits. ICLR Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
2024	Misc	`conf`	SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2024	J	`jnl`	Transformers Can Achieve Length Generalization But Not Robustly. CoRR Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou
2024	A*	`conf`	WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 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
2023	A*	`conf`	CAT-LM Training Language Models on Aligned Code And Tests. ASE Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn
2023	J	`jnl`	CAT-LM: Training Language Models on Aligned Code And Tests. CoRR Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, Vincent J. Hellendoorn
2023	A*	`conf`	CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. EMNLP Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig
2023	J	`jnl`	CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. CoRR Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig
2023	—	`conf`	Contextual Predictive Mutation Testing. ESEC/SIGSOFT FSE Kush Jain, Uri Alon, Alex Groce, Claire Le Goues
2023	J	`jnl`	Contextual Predictive Mutation Testing. CoRR Kush Jain, Uri Alon, Alex Groce, Claire Le Goues
2023	A*	`conf`	DocPrompting: Generating Code by Retrieving the Docs. ICLR Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
2023	J	`jnl`	GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2023	A	`conf`	Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
2023	J	`jnl`	Learning Performance-Improving Code Edits. CoRR Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
2023	—	`conf`	On the Expressivity Role of LayerNorm in Transformers' Attention. ACL (Findings) Shaked Brody, Uri Alon, Eran Yahav
2023	J	`jnl`	On the Expressivity Role of LayerNorm in Transformers' Attention. CoRR Shaked Brody, Uri Alon, Eran Yahav
2023	A*	`conf`	PAL: Program-aided Language Models. ICML Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig
2023	A*	`conf`	Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 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
2023	J	`jnl`	Self-Refine: Iterative Refinement with Self-Feedback. CoRR 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
2023	J	`jnl`	Universal Self-Consistency for Large Language Model Generation. CoRR Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
2023	A*	`conf`	Unlimiformer: Long-Range Transformers with Unlimited Length Input. NeurIPS Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley
2023	J	`jnl`	Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley
2023	J	`jnl`	WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
2023	A*	`conf`	Why do Nearest Neighbor Language Models Work? ICML Frank F. Xu, Uri Alon, Graham Neubig
2023	J	`jnl`	Why do Nearest Neighbor Language Models Work? CoRR Frank F. Xu, Uri Alon, Graham Neubig
2022	J	`jnl`	A Systematic Evaluation of Large Language Models of Code. CoRR Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn
2022	—	`conf`	A systematic evaluation of large language models of code. MAPS@PLDI Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn
2022	J	`jnl`	DocCoder: Generating Code by Retrieving and Reading Docs. CoRR Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
2022	A*	`conf`	How Attentive are Graph Attention Networks? ICLR Shaked Brody, Uri Alon, Eran Yahav
2022	A*	`conf`	Language Models of Code are Few-Shot Commonsense Learners. EMNLP Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig
2022	J	`jnl`	Language Models of Code are Few-Shot Commonsense Learners. CoRR Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig
2022	A*	`conf`	Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
2022	J	`jnl`	Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
2022	—	`conf`	Oversquashing in GNNs through the lens of information contraction and graph expansion. Allerton Pradeep Kr. Banerjee, Kedar Karhadkar, Yuguang Wang, Uri Alon, Guido Montúfar
2022	J	`jnl`	Oversquashing in GNNs through the lens of information contraction and graph expansion. CoRR Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, Guido Montúfar
2022	J	`jnl`	PAL: Program-aided Language Models. CoRR Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig
2022	J	`jnl`	Single-node attacks for fooling graph neural networks. Neurocomputing Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2021	J	`jnl`	How Attentive are Graph Attention Networks? CoRR Shaked Brody, Uri Alon, Eran Yahav
2021	—	`—`	Machine Learning for Programming Language Processing. Uri Alon
2021	A*	`conf`	On the Bottleneck of Graph Neural Networks and its Practical Implications. ICLR Uri Alon, Eran Yahav
2020	J	`jnl`	A structural model for contextual code changes. Proc. ACM Program. Lang. Shaked Brody, Uri Alon, Eran Yahav
2020	J	`jnl`	Adversarial examples for models of code. Proc. ACM Program. Lang. Noam Yefet, Uri Alon, Eran Yahav
2020	J	`jnl`	Neural Edit Completion. CoRR Shaked Brody, Uri Alon, Eran Yahav
2020	J	`jnl`	Neural reverse engineering of stripped binaries using augmented control flow graphs. Proc. ACM Program. Lang. Yaniv David, Uri Alon, Eran Yahav
2020	J	`jnl`	On the Bottleneck of Graph Neural Networks and its Practical Implications. CoRR Uri Alon, Eran Yahav
2020	J	`jnl`	Single-Node Attack for Fooling Graph Neural Networks. CoRR Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2020	A*	`conf`	Structural Language Models of Code. ICML Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav
2019	J	`jnl`	Adversarial Examples for Models of Code. CoRR Noam Yefet, Uri Alon, Eran Yahav
2019	Misc	`conf`	Contextual Speech Recognition with Difficult Negative Training Examples. ICASSP Uri Alon, Golan Pundak, Tara N. Sainath
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR 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
2019	J	`jnl`	Neural Reverse Engineering of Stripped Binaries. CoRR Yaniv David, Uri Alon, Eran Yahav
2019	J	`jnl`	Structural Language Models for Any-Code Generation. CoRR Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav
2019	—	`conf`	code2seq: Generating Sequences from Structured Representations of Code. ICLR (Poster) Uri Alon, Shaked Brody, Omer Levy, Eran Yahav
2019	J	`jnl`	code2vec: learning distributed representations of code. Proc. ACM Program. Lang. Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
2018	J	`jnl`	A General Path-Based Representation for Predicting Program Properties. CoRR Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
2018	A*	`conf`	A general path-based representation for predicting program properties. PLDI Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
2018	J	`jnl`	Contextual Speech Recognition with Difficult Negative Training Examples. CoRR Uri Alon, Golan Pundak, Tara N. Sainath
2018	J	`jnl`	code2seq: Generating Sequences from Structured Representations of Code. CoRR Uri Alon, Omer Levy, Eran Yahav
2018	J	`jnl`	code2vec: Learning Distributed Representations of Code. CoRR Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav