Kaiyan Zhang

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

FlowRL: Matching Reward Distributions for LLM Reasoning

Towards a Unified View of Large Language Model Post-Training

How Far Can Unsupervised RLVR Scale LLM Training?

MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference

LATTS: LAtent space Test Time Scaling for diffusion language models

SSRL: Self-Search Reinforcement Learning

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Process Reinforcement through Implicit Rewards

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation

TTRL: Test-Time Reinforcement Learning

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

ToEdit: How to Synthesize Text Data to Avoid Model Collapse?

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees

How to Synthesize Text Data without Model Collapse?

Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization

Free Process Rewards without Process Labels

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding