Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Li, Dahai"'
Autor:
Yao, Yuan, Yu, Tianyu, Zhang, Ao, Wang, Chongyi, Cui, Junbo, Zhu, Hongji, Cai, Tianchi, Li, Haoyu, Zhao, Weilin, He, Zhihui, Chen, Qianyu, Zhou, Huarong, Zou, Zhensheng, Zhang, Haoye, Hu, Shengding, Zheng, Zhi, Zhou, Jie, Cai, Jie, Han, Xu, Zeng, Guoyang, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally reshaped the landscape of AI research and industry, shedding light on a promising path toward the next AI milestone. However, significant challenges remain preventing MLLM
Externí odkaz:
http://arxiv.org/abs/2408.01800
Autor:
Hu, Shengding, Tu, Yuge, Han, Xu, He, Chaoqun, Cui, Ganqu, Long, Xiang, Zheng, Zhi, Fang, Yewei, Huang, Yuxiang, Zhao, Weilin, Zhang, Xinrong, Thai, Zheng Leng, Zhang, Kaihuo, Wang, Chongyi, Yao, Yuan, Zhao, Chenyang, Zhou, Jie, Cai, Jie, Zhai, Zhongwu, Ding, Ning, Jia, Chao, Zeng, Guoyang, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
The burgeoning interest in developing Large Language Models (LLMs) with up to trillion parameters has been met with concerns regarding resource efficiency and practical expense, particularly given the immense cost of experimentation. This scenario un
Externí odkaz:
http://arxiv.org/abs/2404.06395
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Autor:
Yu, Tianyu, Hu, Jinyi, Yao, Yuan, Zhang, Haoye, Zhao, Yue, Wang, Chongyi, Wang, Shan, Pan, Yinxv, Xue, Jiao, Li, Dahai, Liu, Zhiyuan, Zheng, Hai-Tao, Sun, Maosong
Recent Multimodal Large Language Models (MLLMs) exhibit impressive abilities to perceive images and follow open-ended instructions. The capabilities of MLLMs depend on two crucial factors: the model architecture to facilitate the feature alignment of
Externí odkaz:
http://arxiv.org/abs/2310.00653
Autor:
Hu, Jinyi, Yao, Yuan, Wang, Chongyi, Wang, Shan, Pan, Yinxu, Chen, Qianyu, Yu, Tianyu, Wu, Hanghao, Zhao, Yue, Zhang, Haoye, Han, Xu, Lin, Yankai, Xue, Jiao, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
Recently there has been a significant surge in multimodal learning in terms of both image-to-text and text-to-image generation. However, the success is typically limited to English, leaving other languages largely behind. Building a competitive count
Externí odkaz:
http://arxiv.org/abs/2308.12038
Autor:
Qin, Yujia, Liang, Shihao, Ye, Yining, Zhu, Kunlun, Yan, Lan, Lu, Yaxi, Lin, Yankai, Cong, Xin, Tang, Xiangru, Qian, Bill, Zhao, Sihan, Hong, Lauren, Tian, Runchu, Xie, Ruobing, Zhou, Jie, Gerstein, Mark, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
Despite the advancements of open-source large language models (LLMs), e.g., LLaMA, they remain significantly limited in tool-use capabilities, i.e., using external tools (APIs) to fulfill human instructions. The reason is that current instruction tun
Externí odkaz:
http://arxiv.org/abs/2307.16789
Autor:
Qian, Chen, Liu, Wei, Liu, Hongzhang, Chen, Nuo, Dang, Yufan, Li, Jiahao, Yang, Cheng, Chen, Weize, Su, Yusheng, Cong, Xin, Xu, Juyuan, Li, Dahai, Liu, Zhiyuan, Sun, Maosong
Software development is a complex task that necessitates cooperation among multiple members with diverse skills. Numerous studies used deep learning to improve specific phases in a waterfall model, such as design, coding, and testing. However, the de
Externí odkaz:
http://arxiv.org/abs/2307.07924
Autor:
Qin, Yujia, Hu, Shengding, Lin, Yankai, Chen, Weize, Ding, Ning, Cui, Ganqu, Zeng, Zheni, Huang, Yufei, Xiao, Chaojun, Han, Chi, Fung, Yi Ren, Su, Yusheng, Wang, Huadong, Qian, Cheng, Tian, Runchu, Zhu, Kunlun, Liang, Shihao, Shen, Xingyu, Xu, Bokai, Zhang, Zhen, Ye, Yining, Li, Bowen, Tang, Ziwei, Yi, Jing, Zhu, Yuzhang, Dai, Zhenning, Yan, Lan, Cong, Xin, Lu, Yaxi, Zhao, Weilin, Huang, Yuxiang, Yan, Junxi, Han, Xu, Sun, Xian, Li, Dahai, Phang, Jason, Yang, Cheng, Wu, Tongshuang, Ji, Heng, Liu, Zhiyuan, Sun, Maosong
Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models, AI systems have the potential to be equally adept in tool use as huma
Externí odkaz:
http://arxiv.org/abs/2304.08354
Publikováno v:
Journal of Coastal Research, 2023 Sep 01. 39(5), 960-969.
Externí odkaz:
https://www.jstor.org/stable/48743652
Publikováno v:
In Knowledge-Based Systems 8 April 2024 289
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part F