arXiv Computer Vision October 12, 2026 By Shaheer U. Saeed, Zion Tse, Gregory Slabaugh, Daniel C. Alexander, Yipeng Hu

Can machines reason non-verbally?

Read the original on arXiv Computer Vision →

The paper "Can machines reason non-verbally?" argues that current AI systems, including DeepSeek, ChatGPT, and Gemini, struggle with visual non-verbal reasoning tasks such as completing abstract patterns or delineating ambiguous regions. It introduces GenVerOpt, a framework that combines generation, verification, and optimisation to enable per-sample reasoning, mirroring human problem-solving. Experiments show GenVerOpt surpasses humans on abstract IQ puzzles, matches clinicians in prostate cancer segmentation, outperforms experts in liver vessel reconstruction, and beats state-of-the-art methods in tumour boundary alignment.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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