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

Microsoft · Inference and efficiency · Feb 13, 2026 · 14 citations · 34 upvotes · unverified

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What it shows

CoPE-VideoLM improves video language model efficiency by using video codec primitives instead of full-image encoding for most frames.

By Sayan Deb Sarkar, Rémi Pautrat, Ondrej Miksik and 4 more · arXiv 2602.13191 · PDF

UnverifiedSummarised by a model from the abstract; not yet checked by hand.

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About this paper
Citations
14, 1 influential · Semantic Scholar
Upvotes
34 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

CitationsNov 9, 2026Citations rose from 11 to 14.
New summaryOct 26, 2026CoPE-VideoLM improves video language model efficiency by using video codec primitives instead of full-image encoding for most frames.
CitationsOct 12, 2026Citations rose from 9 to 11.
CitationsOct 5, 2026Influential citations rose from 0 to 1.
CitationsOct 5, 2026Citations rose from 8 to 9.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 8 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.