Zhiyong Wang

FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits

Achieving $\tilde{O}(1)$ Strong Constraint Violation and Sublinear Strong Regret in Online CMDPs

Meta-Prompt Optimization for LLM-Based Sequential Decision Making

FERA: Uncertainty-aware Federated Reasoning for Large Language Models

Large Language Model-Enhanced Multi-Armed Bandits

Self-Reflective Generation at Test Time

Controllable Diffusion via Optimal Classifier Guidance

T-POP: Test-Time Personalization with Online Preference Feedback

Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data

Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds

Towards Zero-Shot Generalization in Offline Reinforcement Learning

Online Clustering of Dueling Bandits

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Provable Zero-Shot Generalization in Offline Reinforcement Learning