Stephanie Chan
7 papers · 2021–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(5)
Deep Learning
(4)
Learning Paradigms · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Reinforcement Learning
(2)
Architectures
(2)
Methods
(2)
Resources & Methods
(2)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
in-context learning
(4)
few-shot learning
(3)
prompt engineering
(2)
large language model
(2)
language model
(2)
imitation learning
(1)
chain-of-thought reasoning
(1)
explanation generation
(1)
neural network optimization
(1)
distribution shift
(1)
l2 regularization
(1)
passive learning
(1)
natural language
(1)
synthetic data
(1)
next-token prediction
(1)
vision-language model
(1)
pre-trained representation
(1)
in-weights learning
(1)
hierarchical memory
(1)
causal intervention
(1)
Papers
Many-Shot In-Context Learning
NeurIPS 2024
Passive learning of active causal strategies in agents and language models
NeurIPS 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NeurIPS 2023
Can language models learn from explanations in context?
EMNLP 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NeurIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
NeurIPS 2022
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NeurIPS 2021