Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper
•
2411.10442
•
Published
•
60
Symbol-LLM
Symbol-LLM
AI & ML interests
Natural Language Processing, Large Language Models, Neuro-Symbolic
Recent Activity
Reacted to
their
post
with 🚀
7 days ago
🥳 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 !
Reacted to
their
post
with 🔥
7 days ago
🥳 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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