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cs.AI2025
Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation
Weiliang Tang, Dong Jing, Jia-Hui Pan +5
Recent Large Multimodal Models have demonstrated remarkable reasoning capabilities, especially in solving complex mathematical problems and realizing accurate spatial perception. O…
cs.AI2025
Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions
Dong Jing, Nanyi Fei, Zhiwu Lu
In the realm of Large Multi-modal Models (LMMs), the instruction quality during the visual instruction tuning stage significantly influences the performance of modality alignment.…