Zobrazeno 1 - 10
of 1 024
pro vyhledávání: '"Liu, Junling"'
Autor:
Zhou, Hongjian, Liu, Fenglin, Gu, Boyang, Zou, Xinyu, Huang, Jinfa, Wu, Jinge, Li, Yiru, Chen, Sam S., Zhou, Peilin, Liu, Junling, Hua, Yining, Mao, Chengfeng, You, Chenyu, Wu, Xian, Zheng, Yefeng, Clifton, Lei, Li, Zheng, Luo, Jiebo, Clifton, David A.
Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of LLMs in su
Externí odkaz:
http://arxiv.org/abs/2311.05112
Autor:
Zhou, Peilin, Cao, Meng, Huang, You-Liang, Ye, Qichen, Zhang, Peiyan, Liu, Junling, Xie, Yueqi, Hua, Yining, Kim, Jaeboum
Large Multimodal Models (LMMs) have demonstrated impressive performance across various vision and language tasks, yet their potential applications in recommendation tasks with visual assistance remain unexplored. To bridge this gap, we present a prel
Externí odkaz:
http://arxiv.org/abs/2311.04199
Large Language Models (LLMs) have introduced a new era of proficiency in comprehending complex healthcare and biomedical topics. However, there is a noticeable lack of models in languages other than English and models that can interpret multi-modal i
Externí odkaz:
http://arxiv.org/abs/2310.17956
Autor:
Ye, Qichen, Liu, Junling, Chong, Dading, Zhou, Peilin, Hua, Yining, Liu, Fenglin, Cao, Meng, Wang, Ziming, Cheng, Xuxin, Lei, Zhu, Guo, Zhenhua
Integrating large language models (LLMs) into healthcare holds great potential but faces challenges. Pre-training LLMs from scratch for domains like medicine is resource-heavy and often unfeasible. On the other hand, sole reliance on Supervised Fine-
Externí odkaz:
http://arxiv.org/abs/2310.09089
Autor:
Liu, Junling, Liu, Chao, Zhou, Peilin, Ye, Qichen, Chong, Dading, Zhou, Kang, Xie, Yueqi, Cao, Yuwei, Wang, Shoujin, You, Chenyu, Yu, Philip S.
Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models. However, the application of LLMs in the recommendation domain has not been tho
Externí odkaz:
http://arxiv.org/abs/2308.12241
Autor:
Liu, Junling, Zhou, Peilin, Hua, Yining, Chong, Dading, Tian, Zhongyu, Liu, Andrew, Wang, Helin, You, Chenyu, Guo, Zhenhua, Zhu, Lei, Li, Michael Lingzhi
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, w
Externí odkaz:
http://arxiv.org/abs/2306.03030
Recommendation systems have witnessed significant advancements and have been widely used over the past decades. However, most traditional recommendation methods are task-specific and therefore lack efficient generalization ability. Recently, the emer
Externí odkaz:
http://arxiv.org/abs/2304.10149
Autor:
Qin, Song1 qinbinbin@126.com, Liu, Junling2 liujunling@nankai.edu.cn, Bai, Xiaobo1 xiaobo413@126.com, Hu, Gang3 hugang@xaut.edu.cn
Publikováno v:
Biomimetics (2313-7673). Aug2024, Vol. 9 Issue 8, p478. 37p.
Autor:
Qin, Song1 qinbinbin@126.com, Liu, Junling2 liujunling@nankai.edu.cn, Bai, Xiaobo1 xiaobo413@126.com, Hu, Gang3 hugang@xaut.edu.cn
Publikováno v:
Biomimetics (2313-7673). Aug2024, Vol. 9 Issue 8, p474. 42p.
Publikováno v:
In International Journal of Solids and Structures 1 September 2024 301