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Research questionHow can multimodal models maintain useful visual memory for causal streaming video reasoning under fixed memory?Continuous video requires multimodal models to process new visual inputs while preserving information needed for later questions. Strict causality and bounded memory make retaining historical evidence difficult.
AI
AI Memory
Computer Vision
Image & Video Processing
Multimodal Models
Reasoning
Latest papersRecent research connected to this question, newest first.Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video UnderstandingThis paper uses hierarchical latent memory to consolidate visual history and progressively internalize retrieved evidence into a fixed-length representation during streaming reasoning. It is evaluated on existing online and offline video benchmarks; conclusions are limited to those tasks and the reported multimodal model settings.research paper · Sep 3, 2026
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