A novel framework called Heima improves Chain-of-Thought reasoning efficiency in Multimodal Large Language Models by condensing intermediate reasoning steps into compact hidden representations. The system demonstrates enhanced generation efficiency while maintaining accuracy across reasoning benchmarks, offering potential breakthroughs in AI reasoning capabilities.

https://arxiv.org/abs/2501.19201

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