2 citations · 3 across the 6 of their papers we have counts for
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cs.CL2024★ 2 cited
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment
Dongjae Shin, Hyeonseok Lim, Inho Won +6
The impressive development of large language models (LLMs) is expanding into the realm of large multimodal models (LMMs), which incorporate multiple types of data beyond text. Howe…
cs.CL2024★ 1 cited
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
ChangSu Choi, Yongbin Jeong, Seoyoon Park +11
Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and rese…