Követés
Uri Alon
Uri Alon
Research Scientist, Google DeepMind
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
code2vec: Learning Distributed Representations of Code
U Alon, M Zilberstein, O Levy, E Yahav
Principles of Programming Languages (POPL) (ACM SIGPLAN Research Highlight), 2019
14362019
How Attentive are Graph Attention Networks?
S Brody, U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2022, 2022
11842022
code2seq: Generating sequences from structured representations of code
U Alon, S Brody, O Levy, E Yahav
International Conference on Learning Representations (ICLR) '2019, 2019
8272019
Self-refine: Iterative refinement with self-feedback
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...
NeurIPS '2023, 2023
7492023
On the Bottleneck of Graph Neural Networks and its Practical Implications
U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2021, 2021
7302021
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
5532022
PAL: Program-aided Language Models
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig
ICML '2023, 2023
5392023
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
2752018
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
2092019
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
1582023
Adversarial Examples for Models of Code
N Yefet, U Alon, E Yahav
OOPSLA 2020, 2020
1472020
Language Models of Code are Few-Shot Commonsense Learners
A Madaan, S Zhou, U Alon, Y Yang, G Neubig
EMNLP '2022, 2022
1452022
Structural Language Models of Code
U Alon, R Sadaka, O Levy, E Yahav
International Conference on Machine Learning (ICML) '2020, 2020
142*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
105*2023
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
Y David, U Alon, E Yahav
OOPSLA 2020, 2020
101*2020
Unlimiformer: Long-range transformers with unlimited length input
A Bertsch, U Alon, G Neubig, MR Gormley
NeurIPS '2023, 2023
892023
Learning performance-improving code edits
A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ...
ICLR '2024, 2023
66*2023
Codebertscore: Evaluating code generation with pretrained models of code
S Zhou, U Alon, S Agarwal, G Neubig
EMNLP '2023, 2023
552023
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
U Alon, FF Xu, J He, S Sengupta, D Roth, G Neubig
ICML '2022, 2022
522022
A Structural Model for Contextual Code Changes
S Brody, U Alon, E Yahav
OOPSLA 2020, 2020
52*2020
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Cikkek 1–20