Stephanie Chan
7 papers · 2021–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (2) π£ Hot Topic Early Bird π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(25)
β
The Questioner
Conferences
NIPS (6)
EMNLP (1)
Top co-authors
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 datum
(1)
next-token prediction
(1)
vision-language model
(1)
in-weights learning
(1)
hierarchical memory
(1)
causal intervention
(1)
vision-language representation
(1)
Papers
Many-Shot In-Context Learning
NIPS 2024
Passive learning of active causal strategies in agents and language models
NIPS 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NIPS 2023
Can language models learn from explanations in context?
EMNLP 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
NIPS 2022
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NIPS 2021