Иран раскрыл число раненых с начала конфликта с США и ИзраилемМинздрав Ирана: В результате ударов США и Израиля пострадало 15 тысяч человек
Several open-source multimodal language models have adapted their methodologies accordingly, e.g., Gemma3 (opens in new tab) uses pan-and-scan and NVILA (opens in new tab) uses Dynamic S2. However, their trade-offs are difficult to understand across different datasets and hyperparameters. To this end, we conducted an ablation study of several techniques. We trained a smaller 5 billion parameter Phi-4 based proxy model on a dataset of 10 million image-text pairs, primarily composed of computer-use and GUI grounding data. We compared with Dynamic S2, which resizes images to a rectangular resolution that minimizes distortion while admitting a tiling by 384×384 squares; Multi-crop, which splits the image into potentially overlapping 384×384 squares and concatenates their encoded features on the token dimension; Multi-crop with S2, which broadens the receptive field by cropping into 1536×1536 squares before applying S2; and Dynamic resolution using the Naflex variant of SigLIP-2, a natively dynamic-resolution encoder with adjustable patch counts.
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However, how about mentioning some of the spinoffs of his research, which many would have thought dry in the extreme? He spent time in the Antarctic researching Bacillus species found in geothermal soils, his expertise was sought when old tannery sites were to be redeveloped to exclude presence of anthrax, and the food industry needed his expertise when investigating food spoilage. His knowledge was valued and his guest lectures were welcomed worldwide.
https://jesper.sikanda.be/posts/1001-syntax-representations.html I’m not so sure this summary does Co de Bruijn justice anymore