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VIDEOP2R: Video Understanding from Perception to Reasoning research paper by Amazon, 2025

Amazon · Nov 14, 2025 · Reasoning · 9 citations · 113 upvotes · unverified

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What it shows

VideoP2R, a process-aware reinforcement fine-tuning framework, improves video reasoning and understanding by modeling perception and reasoning separately, achieving state-of-the-art results on multiple benchmarks.

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

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About this paper
Authors
Yifan Jiang, Yueying Wang, Rui Zhao and 4 more
arXiv
2511.11113 · PDF
Venue
arXiv.org
Citations
9, 0 influential · Semantic Scholar
Upvotes
113 · Hugging Face
Lab
Amazon · on Companies · on Quarterly · on Paydays

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 9Sep 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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