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Latent Implicit Visual Reasoning research paper by UC Berkeley, 2025

UC Berkeley · Dec 24, 2025 · Reasoning · 10 citations · 60 upvotes · unverified

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What it shows

While Large Multimodal Models (LMMs) have made significant progress, they remain largely text-centric, relying on language as their core reasoning modality.

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

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About this paper
Authors
Kelvin Li, Chuyi Shang, Leonid Karlinsky and 3 more
arXiv
2512.21218 · PDF
Venue
arXiv.org
Citations
10, 1 influential · Semantic Scholar
Upvotes
60 · Hugging Face
Lab
UC Berkeley

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 10Sep 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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