Cosmos-LLaVA: Chatting with the Visual Article Swipe

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Ahmed Zeer , Eren Doğan , Yusuf Sait Erdem , Elif İnce , Osama Shbib , Muhammet Uzun , Atahan Uz , M. Kaan Yüce , H. Toprak Kesgin , Mehmet Fatih Amasyalı ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1109/idap64064.2024.10710874

In this study, a Turkish visual instruction model was developed and various\nmodel architectures and dataset combinations were analysed to improve the\nperformance of this model. The Cosmos-LLaVA model, which is built by combining\ndifferent large language models and image coders, is designed to overcome the\ndeficiencies in the Turkish language. In the experiments, the effects of\nfine-tuning with various datasets on the model performance are analysed in\ndetail. The results show that model architecture and dataset selection have a\nsignificant impact on performance.\n Bu \\c{c}al{\\i}\\c{s}mada bir T\\"urk\\c{c}e g\\"orsel talimat modeli\ngeli\\c{s}tirilerek bu modelin performans{\\i}n{\\i} art{\\i}rmaya y\\"onelik\n\\c{c}e\\c{s}itli model mimarileri ve veri k\\"umesi kombinasyonlar{\\i}\nderinlemesine incelenmi\\c{s}tir. Farkl{\\i} b\\"uy\\"uk dil modelleri ve\ng\\"or\\"unt\\"u kodlay{\\i}c{\\i}lar{\\i}n{\\i}n bir araya getirilmesiyle\nolu\\c{s}turulan Cosmos-LLaVA modeli, T\\"urk\\c{c}e dilindeki eksiklikleri\ngidermeye y\\"onelik olarak tasarlanm{\\i}\\c{s}t{\\i}r. Yap{\\i}lan deneylerde,\n\\c{c}e\\c{s}itli veri k\\"umeleri ile yap{\\i}lan ince ayarlar{\\i}n model\nperformans{\\i}n{\\i} nas{\\i}l etkiledi\\u{g}i detayl{\\i} olarak ele\nal{\\i}nm{\\i}\\c{s}t{\\i}r. Sonu\\c{c}lar, model mimarisi ve veri k\\"umesi\nse\\c{c}iminin performans \\"uzerinde \\"onemli bir etkiye sahip oldu\\u{g}unu\ng\\"ostermektedir.\n

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Computer science Cosmos (plant) Computer graphics (images) Art Art history

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1109/idap64064.2024.10710874
OA Status: green
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4403447756

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DOI: https://doi.org/10.1109/idap64064.2024.10710874

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Title: Cosmos-LLaVA: Chatting with the Visual

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-09-21

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Authors: Ahmed Zeer, Eren Doğan, Yusuf Sait Erdem, Elif İnce, Osama Shbib, Muhammet Uzun, Atahan Uz, M. Kaan Yüce, H. Toprak Kesgin, Mehmet Fatih Amasyalı

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Landing page: https://doi.org/10.1109/idap64064.2024.10710874

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OA URL: https://arxiv.org/pdf/2412.02760

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Concepts: Computer science, Cosmos (plant), Computer graphics (images), Art, Art history

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Cited by: 1

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Citations by year (recent): 2025: 1

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abstract_inverted_index.art{\\i}rmaya	87
abstract_inverted_index.ayarlar{\\i}n	120
abstract_inverted_index.Sonu\\c{c}lar,	127
abstract_inverted_index.T\\"urk\\c{c}e	80, 107
abstract_inverted_index.a\nsignificant	73
abstract_inverted_index.performance.\n	76
abstract_inverted_index.various\nmodel	11
abstract_inverted_index.etkiledi\\u{g}i	123
abstract_inverted_index.of\nfine-tuning	52
abstract_inverted_index.the\nperformance	20
abstract_inverted_index.the\ndeficiencies	42
abstract_inverted_index.incelenmi\\c{s}tir.	95
abstract_inverted_index.combining\ndifferent	31
abstract_inverted_index.ve\ng\\"or\\"unt\\"u	100
abstract_inverted_index.performans{\\i}n{\\i}	86
abstract_inverted_index.\\c{c}al{\\i}\\c{s}mada	78
abstract_inverted_index.eksiklikleri\ngidermeye	109
abstract_inverted_index.k\\"umesi\nse\\c{c}iminin	132
abstract_inverted_index.modeli\ngeli\\c{s}tirilerek	83
abstract_inverted_index.model\nperformans{\\i}n{\\i}	121
abstract_inverted_index.tasarlanm{\\i}\\c{s}t{\\i}r.	112
abstract_inverted_index.y\\"onelik\n\\c{c}e\\c{s}itli	88
abstract_inverted_index.deneylerde,\n\\c{c}e\\c{s}itli	114
abstract_inverted_index.getirilmesiyle\nolu\\c{s}turulan	104
abstract_inverted_index.kodlay{\\i}c{\\i}lar{\\i}n{\\i}n	101
abstract_inverted_index.ele\nal{\\i}nm{\\i}\\c{s}t{\\i}r.	126
abstract_inverted_index.kombinasyonlar{\\i}\nderinlemesine	94
abstract_inverted_index.oldu\\u{g}unu\ng\\"ostermektedir.\n	139
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	10
citation_normalized_percentile