high-quality dataset
A high-quality dataset consists of accurate, diverse, and well-labeled examples that provide effective training material for machine learning models. Such datasets are essential for developing robust AI systems that can generalize well to new data.
- CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
- DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
- General-Reasoner: Advancing LLM Reasoning Across All Domains
- OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
- PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms
- SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning