Yoav Levine
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (5) π§ Keyword Pioneer
π
Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(19)
π€
Dynamic Duo
(10)
π
Keyword Champion
β
The Questioner
π
Century Club
(13)
π
Conference Pioneer
π₯
Unstoppable
(6)
Conferences
ICLR (4)
ICML (4)
ACL (2)
NIPS (2)
EACL (1)
Top co-authors
Keywords
attention mechanism
(2)
in-context learning
(2)
language model
(2)
lexical semantics
(1)
factuality evaluation
(1)
sample complexity
(1)
pac learning
(1)
weak supervision
(1)
task identification
(1)
context window
(1)
network depth
(1)
network width
(1)
language model pre-training
(1)
semantic understanding
(1)
open-ended generation
(1)
language model pretraining
(1)
positional embedding
(1)
finite sample complexity
(1)
long sequence
(1)
large language model
(1)
Papers
Position: Language model developers should report train-test overlap
ICML 2025
Generating Benchmarks for Factuality Evaluation of Language Models
EACL 2024
Fundamental Limitations of Alignment in Large Language Models
ICML 2024
STEER: Assessing the Economic Rationality of Large Language Models
ICML 2024
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
ICLR 2023
The Learnability of In-Context Learning
NIPS 2023
Parallel Context Windows for Large Language Models
ACL 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
NIPS 2020
SenseBERT: Driving Some Sense into BERT
ACL 2020
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
ICLR 2018