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CoPE-VideoLM: Codec Primitives For Efficient Video Language Models research paper by Microsoft, 2026

Microsoft · Feb 13, 2026 · Inference and efficiency · 8 citations · 34 upvotes · unverified

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What it shows

Video Language Models (VideoLMs) empower AI systems to understand temporal dynamics in videos.

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

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About this paper
Authors
Sayan Deb Sarkar, Rémi Pautrat, Ondrej Miksik and 4 more
arXiv
2602.13191 · PDF
Citations
8, 0 influential · Semantic Scholar
Upvotes
34 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 8Sep 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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