Yi Wu

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation

Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective

Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps

Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments

AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reasoning Is Not a Race: When Stopping Early Beats Going Deeper

What Can RL Bring to VLA Generalization? An Empirical Study

Few-shot In-context Preference Learning using Large Language Models

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps

How Far Are We from Optimal Reasoning Efficiency?

On Designing Effective RL Reward at Training Time for LLM Reasoning

FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization