Uri Alon
Research scientist at Google DeepMind; CMU LTI alum; works on retrieval-augmented LLMs and code intelligence (code2vec / code2seq).
- Role
- researcher
- Currently at
- Google DeepMind
- twitter.com/UriAlon1
- GitHub
- github.com/urialon
- Scholar
- scholar.google.com/citations
- Papers
- 11
Cite
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Authored papers
11WebArena: A Realistic Web Environment for Building Autonomous Agents
ICLR
Why do Nearest Neighbor Language Models Work?
arXiv 2023
On the Expressivity Role of LayerNorm in Transformers' Attention
arXiv 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input
NeurIPS 2023 11
Learning Performance-Improving Code Edits
arXiv 2023
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
arXiv 2023
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
arXiv 2022
DocPrompting: Generating Code by Retrieving the Docs
arXiv 2022
Language Models of Code are Few-Shot Commonsense Learners
arXiv 2022
How Attentive are Graph Attention Networks?
how-attentive-are-graph-attention-networks-1
code2seq: Generating Sequences from Structured Representations of Code
code2seq-generating-sequences-from-structured-1
Affiliations
Frequent co-authors
10from 11 papers
Graham Neubig
professor
Frank F. Xu
Shuyan Zhou
professor
Eran Yahav
Shaked Brody
Aman Madaan
Abishek Sridhar
researcher
Alexander Shypula
Amanda Bertsch
Amir Yazdanbakhsh