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Natabara Máté

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Articles

RACKA: Regionális Adatokon Célzottan Kialakított Alapmodell

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By Natabara Máté, David Mark, András Márk
| zenodo.org
Published January 2, 2026 | Version 1.0 Poster Open RACKA is a large language model (LLM), a text-generation AI created by researchers at ELTE by adapting the Qwen3-4B model to the Hungarian language. The adaptation was carried out using 130 million documents and code files in Hungarian, English, and German, employing LoRA adapters. The RACKA model can be used both in reasoning mode and in chat mode, retaining these capabilities in part from its base model.
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Skel3D: Skeleton Guided Novel View Synthesis

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By Natabara Máté
| arXiv
arXiv:2412.03407 (cs) View PDF HTML (experimental) Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2412.03407 [cs.CV] (or arXiv:2412.03407v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2412.03407 Submission history From: Aron Fothi [ view email] [v1] Wed, 4 Dec 2024 15:45:20 UTC (1,891 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps...
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[2410.14353] Assistive AI for Augmenting Human Decision-making

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By van der Smagt, Natabara Máté
| arXiv
Open access is only possible with YOUR support. Give to arXiv this week to help keep science open for all.
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