Training-Free Inference Acceleration for Video Large Language Models: Methods, Trade-offs, and Evaluation
arXiv:2610.36327v1 Announce Type: new Abstract: Video Large Language Models (VLMs) have demonstrated strong capabilities in video understanding and reasoning, but processing long visual sequences incurs substantial computational, latency, and memory overhead. This survey examines training-free infe…
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- 2026-10-28 04:00 · arXiv cs.CV
Training-Free Inference Acceleration for Video Large Language Models: Methods, Trade-offs, and Evaluation