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Uri Alon
Uri Alon
Research Scientist, Google DeepMind
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
How Attentive are Graph Attention Networks?
S Brody, U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2022, 2022
15632022
code2vec: Learning Distributed Representations of Code
U Alon, M Zilberstein, O Levy, E Yahav
Principles of Programming Languages (POPL) (ACM SIGPLAN Research Highlight), 2019
15382019
Self-refine: Iterative refinement with self-feedback
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...
NeurIPS '2023, 2023
13432023
On the Bottleneck of Graph Neural Networks and its Practical Implications
U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2021, 2021
9172021
code2seq: Generating sequences from structured representations of code
U Alon, S Brody, O Levy, E Yahav
International Conference on Learning Representations (ICLR) '2019, 2019
8962019
PAL: Program-aided Language Models
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig
ICML '2023, 2023
7892023
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
7072022
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
3202023
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
2792018
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
2122019
Language Models of Code are Few-Shot Commonsense Learners
A Madaan, S Zhou, U Alon, Y Yang, G Neubig
EMNLP '2022, 2022
1932022
Adversarial Examples for Models of Code
N Yefet, U Alon, E Yahav
OOPSLA 2020, 2020
1732020
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
160*2023
Structural Language Models of Code
U Alon, R Sadaka, O Levy, E Yahav
International Conference on Machine Learning (ICML) '2020, 2020
152*2020
Unlimiformer: Long-range transformers with unlimited length input
A Bertsch, U Alon, G Neubig, MR Gormley
NeurIPS '2023, 2023
1292023
Learning performance-improving code edits
A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ...
ICLR '2024, 2023
113*2023
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
Y David, U Alon, E Yahav
OOPSLA 2020, 2020
113*2020
Codebertscore: Evaluating code generation with pretrained models of code
S Zhou, U Alon, S Agarwal, G Neubig
EMNLP '2023, 2023
1012023
Universal self-consistency for large language model generation
X Chen, R Aksitov, U Alon, J Ren, K Xiao, P Yin, S Prakash, C Sutton, ...
arXiv preprint arXiv:2311.17311, 2023
802023
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
U Alon, FF Xu, J He, S Sengupta, D Roth, G Neubig
ICML '2022, 2022
712022
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Artículos 1–20