Yoav Levine
13 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(65)
Venues
Top co-authors
Research topics
Deep Learning
(9)
Artificial Intelligence
(7)
Machine Learning
(6)
Natural Language Processing
(6)
Core AI
(6)
Optimization & Theory
(5)
Models
(4)
Resources & Methods
(4)
Techniques
(4)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Interdisciplinary
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
language model
(3)
in-context learning
(3)
inductive bia
(2)
attention mechanism
(2)
language model pretraining
(2)
large language model
(2)
lexical semantics
(1)
pac learning
(1)
word sense disambiguation
(1)
sample complexity
(1)
context window
(1)
weak supervision
(1)
ai safety
(1)
pointwise mutual information
(1)
masked language model
(1)
task identification
(1)
factuality evaluation
(1)
convolutional network
(1)
question answering
(1)
factual accuracy
(1)
Papers
Position: Language model developers should report train-test overlap
ICML 2025
Fundamental Limitations of Alignment in Large Language Models
ICML 2024
Generating Benchmarks for Factuality Evaluation of Language Models
EACL 2024
STEER: Assessing the Economic Rationality of Large Language Models
ICML 2024
Parallel Context Windows for Large Language Models
ACL 2023
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
ICLR 2023
The Learnability of In-Context Learning
NeurIPS 2023
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
ICLR 2022
PMI-Masking: Principled masking of correlated spans
ICLR 2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
ICML 2021
Limits to Depth Efficiencies of Self-Attention
NeurIPS 2020
SenseBERT: Driving Some Sense into BERT
ACL 2020
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
ICLR 2018