Survey maps inference-efficiency mechanisms behind the high cost of video LLMs
momentslab · hf · 2026-09-10
A survey from momentslab examines inference-efficiency techniques for video and audiovisual LLMs, analyzing cost reductions across frame sampling, encoding, token compression, and the language-model stages, while identifying gaps in current evaluation practices.
More from Multimodal
- OracleZoom Combines On-Policy Self-Distillation and Reference Constraints to Cut Hallucinations in Extreme Super-Resolution — Shubhashis Roy Dipta · 2026-09-10
- DeepSeek-V4.1-Flash lands on Hugging Face: 552B params, 1M-token context — victormustar · 2026-09-10
- Redditor remakes Lain anime intro entirely with Grok Imagine — Listen_Expert · 2026-09-10
- Phone-scan a house with 3D Gaussian Splatting, walk through it in any browser tab — bigaiguy · 2026-09-10
- No face-swapping across 12 one-take shots: a full MiniMax H3 short-drama workflow — lxfater · 2026-09-10
- Prompt template for quirky hand-drawn doodle illustrations — azed_ai · 2026-09-10