Benjamin L. Edelman
5 papers · 2024–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 👑 Triple Crown
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Machine Learning
(4)
Deep Learning
(3)
Core Methods
(3)
Natural Language Processing
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Reinforcement Learning
(1)
Applications
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
representation learning
(1)
autoregressive transformer
(1)
imitation learning
(1)
embedding
(1)
epistemic uncertainty
(1)
in-context learning
(1)
margin maximization
(1)
markov chain
(1)
performance evaluation
(1)
generative model
(1)
language model
(1)
induction head
(1)
bigram statistics
(1)
next-token prediction
(1)
low-temperature sampling
(1)
capability emergence
(1)
fourier feature
(1)
aleatoric uncertainty
(1)
chess playing
(1)
quality degradation
(1)
Papers
Distinguishing the Knowable from the Unknowable with Language Models
ICML 2024
Feature emergence via margin maximization: case studies in algebraic tasks
ICLR 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them
NeurIPS 2024
Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models
ICML 2024