VideoLVR: Latent Visual Reasoning over Grounded Video Evidence
Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs). However, language-based reasoning traces do not provide a reliable mechanism for models to revisit relevant visual evidence, leading to visual forgetting and impairing their ability to reason over video content. Existing approaches maintain visual grounding during reasoning in…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.