Hi everyone!
Sharing Skywork-R1V from Kunlun Inc., a new open-source multimodal reasoning model. The key feature here is visual chain-of-thought reasoning, meaning it can perform multi-step logical reasoning based on visual inputs.
Key aspects:
👁️🗨️ Visual CoT: Enables multi-step logical reasoning on images, breaking down complex problems.
➕ Strong in Math & Science: Specifically designed for visual math problems and interpreting scientific/medical imagery.
🏆 Benchmark Performance: Outperforms other open-source and closed-source models on benchmarks including MATH-500, AIME 2024, GPQA, MathVista, and MMMU.
🔓 Open Source (MIT License!): Model weights and inference code are available.
The team has focused on efficiently transferring text reasoning abilities to the visual domain.
On a broader note, I've been anticipating the value that comes from combining reasoning and multimodality. It's fascinating that AI development seems to be tackling reasoning before comprehensive visual understanding, the reverse of the typical human learning path.
Congratulations for the launch! another open source AI model out there. Curious to test it!
The Skywork-R1V method represents a notable step forward in the field of Vision-Language Models.
Congratulations on your launch! It's exciting to see how your product addresses a key challenge in the market. How do you plan to gather user feedback to iterate on features that resonate most with your target audience?
