Li Zhao

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Co-Evolving Latent Action World Models

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

Dyn-O: Building Structured World Models with Object-Centric Representations

What Do Latent Action Models Actually Learn?

Policy Filtration for RLHF to Mitigate Noise in Reward Models

DPO Meets PPO: Reinforced Token Optimization for RLHF

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

Policy Filtration in RLHF to Fine-Tune LLM for Code Generation

IGOR: Image-GOal Representations are the Atomic Building Blocks for Next-Level Generalization in Embodied AI