code2vec: Learning Distributed Representations of Code U Alon, M Zilberstein, O Levy, E Yahav Principles of Programming Languages (POPL) (ACM SIGPLAN Research Highlight), 2019 | 1361 | 2019 |
How Attentive are Graph Attention Networks? S Brody, U Alon, E Yahav International Conference on Learning Representations (ICLR) '2022, 2022 | 994 | 2022 |
code2seq: Generating sequences from structured representations of code U Alon, S Brody, O Levy, E Yahav International Conference on Learning Representations (ICLR) '2019, 2019 | 785 | 2019 |
On the Bottleneck of Graph Neural Networks and its Practical Implications U Alon, E Yahav International Conference on Learning Representations (ICLR) '2021, 2021 | 653 | 2021 |
Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... NeurIPS '2023, 2023 | 588 | 2023 |
A Systematic Evaluation of Large Language Models of Code FF Xu, U Alon, G Neubig, VJ Hellendoorn MAPS 2022 & Deep Learning for Code workshop, 2022 | 456 | 2022 |
PAL: Program-aided Language Models L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig ICML '2023, 2023 | 452 | 2023 |
A General Path-Based Representation for Predicting Program Properties U Alon, M Zilberstein, O Levy, E Yahav Programming Languages Design and Implementation (PLDI) '2018, 2018 | 267 | 2018 |
Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 202 | 2019 |
Structural Language Models of Code U Alon, R Sadaka, O Levy, E Yahav International Conference on Machine Learning (ICML) '2020, 2020 | 138* | 2020 |
Adversarial Examples for Models of Code N Yefet, U Alon, E Yahav OOPSLA 2020, 2020 | 137 | 2020 |
Language Models of Code are Few-Shot Commonsense Learners A Madaan, S Zhou, U Alon, Y Yang, G Neubig EMNLP '2022, 2022 | 123 | 2022 |
Webarena: A realistic web environment for building autonomous agents S Zhou, FF Xu, H Zhu, X Zhou, R Lo, A Sridhar, X Cheng, Y Bisk, D Fried, ... ICLR '2024, 2023 | 122 | 2023 |
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs Y David, U Alon, E Yahav OOPSLA 2020, 2020 | 97* | 2020 |
DocPrompting: Generating Code by Retrieving the Docs S Zhou, U Alon, FF Xu, Z Wang, Z Jiang, G Neubig International Conference on Learning Representations (ICLR) '2023 (Spotlight), 2023 | 80* | 2023 |
Unlimiformer: Long-range transformers with unlimited length input A Bertsch, U Alon, G Neubig, MR Gormley NeurIPS '2023, 2023 | 64 | 2023 |
Learning performance-improving code edits A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ... ICLR '2024, 2023 | 55* | 2023 |
A Structural Model for Contextual Code Changes S Brody, U Alon, E Yahav OOPSLA 2020, 2020 | 49* | 2020 |
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval U Alon, FF Xu, J He, S Sengupta, D Roth, G Neubig ICML '2022, 2022 | 46 | 2022 |
Oversquashing in GNNs through the lens of information contraction and graph expansion PK Banerjee, K Karhadkar, YG Wang, U Alon, G Montúfar Allerton Conference on Communication, Control, and Computing 2022, 2022 | 39 | 2022 |