Uri Alon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | In-Context Learning with Long-Context Models: An In-Depth Exploration. | Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig |
| 2024 | ICASSP | SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. | Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein |
| 2024 | ICLR | Learning Performance-Improving Code Edits. | Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh |
| 2024 | ICLR | 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 |
| 2024 | ICML | In-Context Principle Learning from Mistakes. | Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon |
| 2023 | ACL | On the Expressivity Role of LayerNorm in Transformers' Attention. | Shaked Brody, Uri Alon, Eran Yahav |
| 2023 | CIKM | 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 |
| 2023 | EMNLP | CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. | Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig |
| 2023 | ICLR | DocPrompting: Generating Code by Retrieving the Docs. | Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig |
| 2023 | ICML | PAL: Program-aided Language Models. | Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | ICML | Why do Nearest Neighbor Language Models Work? | Frank F. Xu, Uri Alon, Graham Neubig |
| 2022 | EMNLP | Language Models of Code are Few-Shot Commonsense Learners. | Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig |
| 2022 | ICLR | How Attentive are Graph Attention Networks? | Shaked Brody, Uri Alon, Eran Yahav |
| 2022 | ICML | Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. | Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig |
| 2022 | PLDI | A systematic evaluation of large language models of code. | Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn |
| 2021 | ICLR | On the Bottleneck of Graph Neural Networks and its Practical Implications. | Uri Alon, Eran Yahav |
| 2020 | ICML | Structural Language Models of Code. | Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav |
| 2019 | ICASSP | Contextual Speech Recognition with Difficult Negative Training Examples. | Uri Alon, Golan Pundak, Tara N. Sainath |
| 2019 | ICLR | code2seq: Generating Sequences from Structured Representations of Code. | Uri Alon, Shaked Brody, Omer Levy, Eran Yahav |
| 2018 | PLDI | A general path-based representation for predicting program properties. | Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav |
| 2015 | MICCAI | Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics. | Assaf Arbelle, N. Drayman, Mark-Anthony Bray, Uri Alon, Anne E. Carpenter, Tammy Riklin Raviv |