Katie Kang
6 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Renaissance Researcher (5)
π₯
Unstoppable Β· Bronze
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(3)
Learning Types
(3)
Core Methods
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Robotics
(1)
Application Areas
(1)
Applications
(1)
Methods
(1)
Optimization
(1)
Keywords
distribution shift
(2)
large language model
(2)
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)
density models
(1)
generalization
(1)
reward model
(1)
supervised fine-tuning
(1)
dynamics model
(1)
lyapunov stability
(1)
linear dynamical system
(1)
state constraint
(1)
fine tuning
(1)
Papers
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
NAACL 2025
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 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