Zobrazeno 1 - 10
of 9 754
pro vyhledávání: '"Wenyue An"'
Autor:
Jiakang Yang, Jing Shuai, Lixuen Siow, Jingyi Lu, Miao Sun, Wenyue An, Mengfei Yu, Baixiang Wang, Qianming Chen
Publikováno v:
Bone Research, Vol 12, Iss 1, Pp 1-12 (2024)
Abstract Reconstruction of irregular oral-maxillofacial bone defects with an inflammatory microenvironment remains a challenge, as chronic local inflammation can largely impair bone healing. Here, we used magnesium silicate nanospheres (MSNs) to load
Externí odkaz:
https://doaj.org/article/c06dfeb82e0940d5b8505c37fea7c53e
Autor:
Jin, Mingyu, Luo, Weidi, Cheng, Sitao, Wang, Xinyi, Hua, Wenyue, Tang, Ruixiang, Wang, William Yang, Zhang, Yongfeng
Large Language Models (LLMs) have demonstrated strong performance in handling complex tasks requiring both extensive knowledge and reasoning abilities. However, the existing LLM inference pipeline operates as an opaque process without explicit separa
Externí odkaz:
http://arxiv.org/abs/2411.13504
Autor:
Hua, Wenyue, Liu, Ollie, Li, Lingyao, Amayuelas, Alfonso, Chen, Julie, Jiang, Lucas, Jin, Mingyu, Fan, Lizhou, Sun, Fei, Wang, William, Wang, Xintong, Zhang, Yongfeng
This paper investigates the rationality of large language models (LLMs) in strategic decision-making contexts, specifically within the framework of game theory. We evaluate several state-of-the-art LLMs across a spectrum of complete-information and i
Externí odkaz:
http://arxiv.org/abs/2411.05990
Agents, as user-centric tools, are increasingly deployed for human task delegation, assisting with a broad spectrum of requests by generating thoughts, engaging with user proxies, and producing action plans. However, agents based on large language mo
Externí odkaz:
http://arxiv.org/abs/2410.00079
Autor:
Yu, Huizi, Zhou, Jiayan, Li, Lingyao, Chen, Shan, Gallifant, Jack, Shi, Anye, Li, Xiang, Hua, Wenyue, Jin, Mingyu, Chen, Guang, Zhou, Yang, Li, Zhao, Gupte, Trisha, Chen, Ming-Li, Azizi, Zahra, Zhang, Yongfeng, Assimes, Themistocles L., Ma, Xin, Bitterman, Danielle S., Lu, Lin, Fan, Lizhou
Simulated patient systems play a crucial role in modern medical education and research, providing safe, integrative learning environments and enabling clinical decision-making simulations. Large Language Models (LLM) could advance simulated patient s
Externí odkaz:
http://arxiv.org/abs/2409.18924
Autor:
Shi, Zeru, Mei, Kai, Jin, Mingyu, Su, Yongye, Zuo, Chaoji, Hua, Wenyue, Xu, Wujiang, Ren, Yujie, Liu, Zirui, Du, Mengnan, Deng, Dong, Zhang, Yongfeng
Large language models (LLMs) have demonstrated significant potential in the development of intelligent applications and systems such as LLM-based agents and agent operating systems (AIOS). However, when these applications and systems interact with th
Externí odkaz:
http://arxiv.org/abs/2410.11843
Autor:
Zhang, Pengyu, Yin, Hao, Wang, Zeren, Chen, Wenyue, Li, Shengming, Wang, Dong, Lu, Huchuan, Jia, Xu
Sign language is one of the most effective communication tools for people with hearing difficulties. Most existing works focus on improving the performance of sign language tasks on RGB videos, which may suffer from degraded recording conditions, suc
Externí odkaz:
http://arxiv.org/abs/2407.12593
Autor:
Zhang, Chong, Liu, Xinyi, Zhang, Zhongmou, Jin, Mingyu, Li, Lingyao, Wang, Zhenting, Hua, Wenyue, Shu, Dong, Zhu, Suiyuan, Jin, Xiaobo, Li, Sujian, Du, Mengnan, Zhang, Yongfeng
Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fundamentals, and global events)? These factors, which frequently influenc
Externí odkaz:
http://arxiv.org/abs/2407.18957
Autor:
Zeng, Qingcheng, Jin, Mingyu, Yu, Qinkai, Wang, Zhenting, Hua, Wenyue, Zhou, Zihao, Sun, Guangyan, Meng, Yanda, Ma, Shiqing, Wang, Qifan, Juefei-Xu, Felix, Ding, Kaize, Yang, Fan, Tang, Ruixiang, Zhang, Yongfeng
Large Language Models (LLMs) are employed across various high-stakes domains, where the reliability of their outputs is crucial. One commonly used method to assess the reliability of LLMs' responses is uncertainty estimation, which gauges the likelih
Externí odkaz:
http://arxiv.org/abs/2407.11282
Autor:
Li, Zelong, Xu, Shuyuan, Mei, Kai, Hua, Wenyue, Rama, Balaji, Raheja, Om, Wang, Hao, Zhu, He, Zhang, Yongfeng
Recent advancements in Large Language Models (LLMs) have shown significant progress in understanding complex natural language. One important application of LLM is LLM-based AI Agent, which leverages the ability of LLM as well as external tools for co
Externí odkaz:
http://arxiv.org/abs/2407.12821