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GenRecal: Generation after Recalibration from Large to Small Vision-Language Models research paper by NVIDIA, 2025

NVIDIA · Jun 18, 2025 · Multimodal and robotics · 6 citations · 43 upvotes · unverified

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What it shows

GenRecal, a novel distillation framework, improves performance of vision-language models by aligning feature representations across different architectures.

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

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About this paper
Authors
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro and 2 more
arXiv
2506.15681 · PDF
Venue
arXiv.org
Citations
6, 0 influential · Semantic Scholar
Upvotes
43 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 6Sep 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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