Sign inGet started
Paper · arXiv

Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text

Chain-of-Thought (CoT) improves the performance of Large Language Models (LLMs) and has been extended to Multimodal Large Language Models (MLLMs). More recent work further moves from text-based multimodal reasoning toward interleaved-modal reasoning, where intermediate steps can incorporate both textual rationales and visual evidence. In this work, we propose a bolder and more ambitious idea: could images alone serve as the reasoning medium for both language and multimodal tasks? To explore this, we propose optical reasoning, which treats images as a standalone reasoning medium. We instantiate this concept with two variants: typographic-based optical reasoning, which optimizes visual layo...

AuthorsYutong Bian, Dongjie Cheng, Heming Xia et al.
Primary categorycs.AI
Published8 June 2026
Last updated at source8 June 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/a375f143-2746-4ed0-8672-7da57dde6bbe" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Models and datasets referencing this paper

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.