Katie Kang
6 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (5) π Interdisciplinary Bridge
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Hot Topic Early Bird
π
Cross-Pollinator
(12)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ICML (2)
CORL (1)
ICLR (1)
L4DC (1)
NAACL (1)
Top co-authors
Keywords
deep reinforcement learning
(1)
representation learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
multi-task learning
(1)
reward modeling
(1)
imitation learning
(1)
density estimation
(1)
hierarchical planning
(1)
knowledge editing
(1)
optimal control
(1)
distribution shift
(1)
density models
(1)
reward model
(1)
dynamics model
(1)
lyapunov stability
(1)
linear dynamical system
(1)
state constraint
(1)
supervised finetuning
(1)
learning-based control
(1)
Papers
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
NAACL 2025
Deep Neural Networks Tend To Extrapolate Predictably
ICLR 2024
Multi-Task Imitation Learning for Linear Dynamical Systems
L4DC 2023
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
ICML 2022
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
CORL 2021