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.
«Корабль, принадлежащий сионистскому режиму и под флагом Либерии, сегодня утром после игнорирования предупреждений военно-морских сил Корпуса стражей исламской революции был поражен иранскими снарядами и остановлен на месте», — отмечается в сообщении.
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