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Alexa R. Tartaglini, Zhengxuan Wu, Thadd\"aus Wiedemer, Martin Wattenberg, Been Kim, Yuxuan Li
· 1 min read
ResearcharXiv cs.AI
A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs
arXiv:2610.36449v1 Announce Type: new
Abstract: Do vision-language models (VLMs) share our ability to communicate visually? We share preliminary findings, starting from a surprising observation: simple visual symbols like a red heart can strongly influence model behavior on seemingly unrelated tasks, such as steering models towards recursive solutions on simple coding problems. Notably, this steering effect is largely implicit, as models' direct interpretations and thinking traces about visual symbols diverge substantially from their observed behavior. In visual communication between models, this leads to a generation--interpretation gap: while models tend to send shape primitives that they (and humans) find intuitive, these visual cues often fail to steer other models. In further communication games involving abstract concepts and stories, models can creatively use visuals to transmit meaning to one another, although some communications remain non-intuitive to humans. These findings reveal that VLMs might be capable of rich, creative, and visually-grounded communication, but their interpretation and production of visual meaning diverges from human conventions in surprising ways. Together this work highlights both the promise and challenges of visual communication between humans and VLMs.
Original source
This story was published by arXiv cs.AI and written by Alexa R. Tartaglini, Zhengxuan Wu, Thadd\"aus Wiedemer, Martin Wattenberg, Been Kim, Yuxuan Li. SyncAI.news shows a preview; the complete article is on the publisher's site.
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