#artificial intelligence
Jun 2026
MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios
This work introduces MMLongEmbed, the first comprehensive benchmark for evaluating MEMs in long-context scenarios, and finds that current architectures rely heavily on superficial feature matching and struggle to capture deep semantic and structural dependencies.
Maggie Haitian Wang, Ruoxi Sun, Quantong Qiu et al.
· arXiv.org · 0 citations