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pro vyhledávání: '"Wen, Zehao"'
Autor:
Shang, Yuzhang, Xu, Bingxin, Kang, Weitai, Cai, Mu, Li, Yuheng, Wen, Zehao, Dong, Zhen, Keutzer, Kurt, Lee, Yong Jae, Yan, Yan
Advancements in Large Language Models (LLMs) inspire various strategies for integrating video modalities. A key approach is Video-LLMs, which incorporate an optimizable interface linking sophisticated video encoders to LLMs. However, due to computati
Externí odkaz:
http://arxiv.org/abs/2409.12963
Autor:
Wen, Zehao, Younes, Rabih
Publikováno v:
ACE (2023) Vol. 21: 249-257.
In our rapidly evolving digital sphere, the ability to discern media bias becomes crucial as it can shape public sentiment and influence pivotal decisions. The advent of large language models (LLMs), such as ChatGPT, noted for their broad utility in
Externí odkaz:
http://arxiv.org/abs/2403.20158
Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text into well-structured and textured indoor scenes at a house-scale. By prompting Large Language Models (LLMs) with designed templates, our approach converts prov
Externí odkaz:
http://arxiv.org/abs/2312.06644