2 papers
cs.CV2026
MEval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks
Jie Huang, Ruixun Liu, Sirui Sun +4
As multi-modal models advance towards long-form video understanding, memory emerges as a critical capability. Despite substantial efforts in developing video datasets and benchmark…
cs.CV2025
PAVE: Patching and Adapting Video Large Language Models
Zhuoming Liu, Yiquan Li, Khoi Duc Nguyen +2
Pre-trained video large language models (Video LLMs) exhibit remarkable reasoning capabilities, yet adapting these models to new tasks involving additional modalities or data types…