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Uri Alon
Uri Alon
Post-doctoral Researcher, Language Technologies Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
code2vec: Learning Distributed Representations of Code
U Alon, M Zilberstein, O Levy, E Yahav
Principles of Programming Languages (POPL) (ACM SIGPLAN Research Highlight), 2019
8582019
code2seq: Generating sequences from structured representations of code
U Alon, S Brody, O Levy, E Yahav
International Conference on Learning Representations (ICLR) '2019, 2019
5152019
On the Bottleneck of Graph Neural Networks and its Practical Implications
U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2021, 2021
2292021
How Attentive are Graph Attention Networks?
S Brody, U Alon, E Yahav
International Conference on Learning Representations (ICLR) '2022, 2022
2052022
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
2012018
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
1602019
Structural Language Models of Code
U Alon, R Sadaka, O Levy, E Yahav
International Conference on Machine Learning (ICML) '2020, 2020
83*2020
Adversarial Examples for Models of Code
N Yefet, U Alon, E Yahav
OOPSLA 2020, 2020
692020
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
Y David, U Alon, E Yahav
OOPSLA 2020, 2020
52*2020
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
422022
A Structural Model for Contextual Code Changes
S Brody, U Alon, E Yahav
OOPSLA 2020, 2020
32*2020
Contextual Speech Recognition with Difficult Negative Training Examples
U Alon, G Pundak, TN Sainath
International Conference on Acoustics, Speech, and Signal Processing (ICASSPá…, 2019
222019
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
U Alon, FF Xu, J He, S Sengupta, D Roth, G Neubig
ICML '2022, 2022
82022
Single-node attack for fooling graph neural networks
B Finkelshtein, C Baskin, E Zheltonozhskii, U Alon
Neurocomputing, 2020
82020
Language Models of Code are Few-Shot Commonsense Learners
A Madaan, S Zhou, U Alon, Y Yang, G Neubig
EMNLP'2022, 2022
72022
PAL: Program-aided Language Models
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig
arXiv preprint arXiv:2211.10435, 2022
42022
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
2*2023
Oversquashing in GNNs through the lens of information contraction and graph expansion
PK Banerjee, K Karhadkar, YG Wang, U Alon, G Mont˙far
Allerton Conference on Communication, Control, and Computing 2022, 2022
22022
Why do Nearest Neighbor Language Models Work?
FF Xu, U Alon, G Neubig
arXiv preprint arXiv:2301.02828, 2023
2023
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Articles 1–19