Initiative may be slipping away from US and Israel as Middle East crisis deepens

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We build on the SigLIP-2 (opens in new tab) vision encoder and the Phi-4-Reasoning backbone. In previous research, we found that multimodal language models sometimes struggled to solve tasks, not because of a lack of reasoning proficiency, but rather an inability to extract and select relevant perceptual information from the image. An example would be a high-resolution screenshot that is information-dense with relatively small interactive elements.

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In most cases you should choose JSON.

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\nResearchers from Monell Chemical Senses Center in Philadelphia; the University of California, Irvine; University College Cork, Ireland; Calico Life Sciences LLC; and the Children’s Hospital of Philadelphia contributed to the work.

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