🥳 Thrilled to introduce our recent efforts on bootstrapping VLMs for multi-modal chain-of-thought reasoning !
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🥳 Thrilled to introduce our recent efforts on bootstrapping VLMs for multi-modal chain-of-thought reasoning !
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📕 Title: Vision-Language Models Can Self-Improve Reasoning via Reflection
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📕 Title: Vision-Language Models Can Self-Improve Reasoning via Reflection
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🔗 Link: 
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🔗 Link: 
Vision-Language Models Can Self-Improve Reasoning via Reflection (2411.00855)
https://huggingface.co/papers/2411.00855
2411.00855
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https://huggingface.co/papers/2411.00855
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😇Takeaways:
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😇Takeaways:
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- We found that VLMs can self-improve reasoning performance through a reflection mechanism, and importantly, this approach can scale through test-time computing.
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- We found that VLMs can self-improve reasoning performance through a reflection mechanism, and importantly, this approach can scale through test-time computing.
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- Evaluation on comprehensive and diverse Vision-Language reasoning tasks are included !
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- Evaluation on comprehensive and diverse Vision-Language reasoning tasks are included !
🥳 Thrilled to introduce our recent efforts on bootstrapping VLMs for multi-modal chain-of-thought reasoning !

📕 Title: Vision-Language Models Can Self-Improve Reasoning via Reflection

🔗 Link: https://huggingface.co/papers/2411.00855

😇Takeaways:

- We found that VLMs can self-improve reasoning performance through a reflection mechanism, and importantly, this approach can scale through test-time computing.

- Evaluation on comprehensive and diverse Vision-Language reasoning tasks are included !
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Symbol-LLM SaylorTwift cckevinn davanstrien ai-everyday
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Symbol-LLM cckevinn John6666