When to Retrieve, When to Stay: Uncertainty-Aware Temporal Evidence Allocation for Streaming Video-LLMs

arXiv:2609.37345 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 6× in this paper
• KV cache — 4× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 2× in this paper
• Training-Free Framework — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• ShallowStream: Index Shallow then Answer Deep for Streaming Video Understanding
• GPT-4o System Card
• LLaVA-OneVision: Easy Visual Task Transfer
• OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning
• LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval
• A Simple Baseline for Streaming Video Understanding
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding
• MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering
• FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
• LLaVA-Video: Video Instruction Tuning With Synthetic Data

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