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LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs research paper by Google DeepMind, 2026

Google DeepMind · May 17, 2026 · Inference and efficiency · 1 citations · 26 upvotes · unverified

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What it shows

LiteFrame, a lightweight video encoder with Compressed Token Distillation training method, reduces latency and increases frame processing capacity for long-form video understanding in Video LLMs while maintaining accuracy.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jihwan Kim, Nikhil Parthasarathy, Danfeng Qin and 5 more
arXiv
2605.17260 · PDF
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
26 · Hugging Face
Code
github.com/jjihwan/LiteFrame
Lab
Google DeepMind · on Companies · on Acquisitions

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 1Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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