Wee Sun Lee

EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning

First Try Matters: Revisiting the Role of Reflection in Reasoning Models

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning

GEM: A Gym for Generalist LLMs

Less is More: Improving Molecular Force Fields with Minimal Temporal Information

Sample-Efficient Alignment for LLMs

Model Editing is Over: Revealing Its Illusory Success and Fragile Foundation

Learning to Search from Demonstration Sequences

Understanding R1-Zero-Like Training: A Critical Perspective

Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions

Continual Reinforcement Learning by Planning with Online World Models

Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation

Optimizing Anytime Reasoning via Budget Relative Policy Optimization

Sample-Efficient Alignment for LLMs

Differentiable Cluster Graph Neural Network

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy

Sample Efficient Alignment for LLMs

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity & Hierarchy in Efficiently Layered Decoder