Uri Alon
17 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(10)
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Topic Evolution
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Triple Crown
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Trend Setter
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Keyword Collector
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Research topics
Artificial Intelligence
(11)
Natural Language Processing
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Core AI
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Machine Learning
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Generation
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Deep Learning
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Applications
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Core Methods
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Learning Paradigms
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Architectures
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Optimization & Theory
(2)
Techniques
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Computer Science
(1)
Keywords
code generation
(4)
large language model
(4)
attention mechanism
(4)
few-shot prompting
(2)
language model
(2)
few-shot learning
(2)
graph neural network
(2)
abstract syntax tree
(2)
neural network
(2)
text generation
(2)
in-context learning
(2)
long-range transformers
(1)
program synthesis
(1)
iterative refinement
(1)
graph generation
(1)
neural machine translation
(1)
neural code
(1)
information retrieval
(1)
parametric model
(1)
k-nearest neighbor
(1)
Papers
In-Context Learning with Long-Context Models: An In-Depth Exploration
NAACL 2025
In-Context Principle Learning from Mistakes
ICML 2024
Learning Performance-Improving Code Edits
ICLR 2024
WebArena: A Realistic Web Environment for Building Autonomous Agents
ICLR 2024
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
EMNLP 2023
DocPrompting: Generating Code by Retrieving the Docs
ICLR 2023
On the Expressivity Role of LayerNorm in Transformers’ Attention
ACL 2023
PAL: Program-aided Language Models
ICML 2023
Self-Refine: Iterative Refinement with Self-Feedback
NeurIPS 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input
NeurIPS 2023
Why do Nearest Neighbor Language Models Work?
ICML 2023
How Attentive are Graph Attention Networks?
ICLR 2022
Language Models of Code are Few-Shot Commonsense Learners
EMNLP 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
ICML 2022
On the Bottleneck of Graph Neural Networks and its Practical Implications
ICLR 2021
Structural Language Models of Code
ICML 2020
code2seq: Generating Sequences from Structured Representations of Code
ICLR 2019