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cs.CV2025
RynnEC: Bringing MLLMs into Embodied World
Ronghao Dang, Yuqian Yuan, Yunxuan Mao +6
We introduce RynnEC, a video multimodal large language model designed for embodied cognition. Built upon a general-purpose vision-language foundation model, RynnEC incorporates a r…
cs.CV2025
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
Zhikai Wang, Jiashuo Sun, Wenqi Zhang +4
Recent advancements in Large Vision-Language Models (LVLMs) have significantly enhanced their ability to integrate visual and linguistic information, achieving near-human proficien…