Zobrazeno 1 - 10
of 1 391
pro vyhledávání: '"Chae, Won"'
The success of visual instruction tuning has accelerated the development of large language and vision models (LLVMs). Following the scaling laws of instruction-tuned large language models (LLMs), LLVMs either have further increased their sizes, reach
Externí odkaz:
http://arxiv.org/abs/2409.14713
Autor:
Yeo, Jeong Hun, Kim, Chae Won, Kim, Hyunjun, Rha, Hyeongseop, Han, Seunghee, Cheng, Wen-Huang, Ro, Yong Man
Lip reading aims to predict spoken language by analyzing lip movements. Despite advancements in lip reading technologies, performance degrades when models are applied to unseen speakers due to their sensitivity to variations in visual information suc
Externí odkaz:
http://arxiv.org/abs/2409.00986
Large language and vision models (LLVMs) have been driven by the generalization power of large language models (LLMs) and the advent of visual instruction tuning. Along with scaling them up directly, these models enable LLVMs to showcase powerful vis
Externí odkaz:
http://arxiv.org/abs/2406.12246
Autor:
Park, Se Jin, Kim, Chae Won, Rha, Hyeongseop, Kim, Minsu, Hong, Joanna, Yeo, Jeong Hun, Ro, Yong Man
In this paper, we introduce a novel Face-to-Face spoken dialogue model. It processes audio-visual speech from user input and generates audio-visual speech as the response, marking the initial step towards creating an avatar chatbot system without rel
Externí odkaz:
http://arxiv.org/abs/2406.07867
The rapid development of large language and vision models (LLVMs) has been driven by advances in visual instruction tuning. Recently, open-source LLVMs have curated high-quality visual instruction tuning datasets and utilized additional vision encode
Externí odkaz:
http://arxiv.org/abs/2405.15574
The rise of large language models (LLMs) and instruction tuning has led to the current trend of instruction-tuned large language and vision models (LLVMs). This trend involves either meticulously curating numerous instruction tuning datasets tailored
Externí odkaz:
http://arxiv.org/abs/2403.07508
Providing emotional support through dialogue systems is becoming increasingly important in today's world, as it can support both mental health and social interactions in many conversation scenarios. Previous works have shown that using persona is eff
Externí odkaz:
http://arxiv.org/abs/2403.04212
The remarkable success of Large Language Models (LLMs) and instruction tuning drives the evolution of Vision Language Models (VLMs) towards a versatile general-purpose model. Yet, it remains unexplored whether current VLMs genuinely possess quality o
Externí odkaz:
http://arxiv.org/abs/2402.11248
Autor:
Chae Won Chung, Kyungsik Kim, Sue K Park, Dal Lae Ju, Young Joo Park, Choong Ho Shin, Jong Kwan Jun, June-Key Chung, Yoon Ju Song, Young Ah Lee, Gi Jeong Cheon, Sun Wook Cho
Publikováno v:
European Thyroid Journal, Vol 13, Iss 4, Pp 1-11 (2024)
Objective: This study aimed to assess selenium status in South Korean pregnant women and its impact on maternal thyroid function and pregnancy outcomes. Methods: ‘Ideal Breast Milk (IBM) Cohort Study’ included 367 pregnant women out of 442 partic
Externí odkaz:
https://doaj.org/article/351ebcf2f5994b36916c7905bd1cd7ea
