#reward models

Master-RM is a new reward model designed to fix vulnerabilities in LLM-based evaluators by reducing false positives caused by superficial cues, ensuring more reliable reinforcement learning outcomes.

SynPref-40M introduces a huge new preference dataset, enabling the Skywork-Reward-V2 family of models to achieve state-of-the-art results in human-AI alignment across multiple benchmarks.

DanceGRPO introduces a unified reinforcement learning framework that enhances visual generation across multiple paradigms and tasks, significantly improving visual quality and alignment with human preferences.