3 papers
cs.CV2026
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
Yaoting Wang, Ziyi Zhang, Wenming Tu +10
Recent advances in Omni-Multimodal Large Language Models (Omni-MLLMs) have enabled strong integration of vision, audio, and language. However, their audio-visual intelligence (AVI)…
cs.CV2025
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
Haidong Xu, Guangwei Xu, Zhedong Zheng +7
This paper introduces VimoRAG, a novel video-based retrieval-augmented motion generation framework for motion large language models (LLMs). As motion LLMs face severe out-of-domain…
cs.CV2025
Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models
Ruiyang Zhang, Hu Zhang, Hao Fei +1
Large Multimodal Models (LMMs), harnessing the complementarity among diverse modalities, are often considered more robust than pure Language Large Models (LLMs); yet do LMMs know w…