Zobrazeno 1 - 10
of 560
pro vyhledávání: '"Chen, Weixin"'
Representation learning is essential for deep-neural-network-based recommender systems to capture user preferences and item features within fixed-dimensional user and item vectors. Unlike existing representation learning methods that either treat eac
Externí odkaz:
http://arxiv.org/abs/2406.07432
Truthfulness is paramount for large language models (LLMs) as they are increasingly deployed in real-world applications. However, existing LLMs still struggle with generating truthful content, as evidenced by their modest performance on benchmarks li
Externí odkaz:
http://arxiv.org/abs/2401.12292
Recently, multimodal recommendations (MMR) have gained increasing attention for alleviating the data sparsity problem of traditional recommender systems by incorporating modality-based representations. Although MMR exhibit notable improvement in reco
Externí odkaz:
http://arxiv.org/abs/2310.17373
Autor:
Wang, Boxin, Chen, Weixin, Pei, Hengzhi, Xie, Chulin, Kang, Mintong, Zhang, Chenhui, Xu, Chejian, Xiong, Zidi, Dutta, Ritik, Schaeffer, Rylan, Truong, Sang T., Arora, Simran, Mazeika, Mantas, Hendrycks, Dan, Lin, Zinan, Cheng, Yu, Koyejo, Sanmi, Song, Dawn, Li, Bo
Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, prac
Externí odkaz:
http://arxiv.org/abs/2306.11698
Diffusion models have achieved great success in a range of tasks, such as image synthesis and molecule design. As such successes hinge on large-scale training data collected from diverse sources, the trustworthiness of these collected data is hard to
Externí odkaz:
http://arxiv.org/abs/2303.05762
Autor:
Feng, Hui1 (AUTHOR), Chen, Weixin1 (AUTHOR), Yang, Jianzhu1 (AUTHOR), Kong, Haorong1 (AUTHOR), Li, Hongyu1 (AUTHOR), Tian, Meng1 (AUTHOR), Mo, Jing1 (AUTHOR), He, Yuan1 (AUTHOR), Wang, Hong1 (AUTHOR) wanghongyk@sina.com
Publikováno v:
Journal of Ophthalmic Inflammation & Infection. 10/24/2024, Vol. 14 Issue 1, p1-8. 8p.
This paper considers a scenario in which the Terahertz (THz) transmitter equipped with a linear antenna array wishes to focus its beam to a desired spatial region in the array near-field. The goal is to compute the achievable spatial region and deter
Externí odkaz:
http://arxiv.org/abs/2205.10702
Autor:
Wang, Shuai, Liao, Xueyu, Zheng, Zhibin, Long, Jun, Shen, Maolin, Chen, Weixin, Wang, Juan, Berdiev, Dorob, Zheng, Kaihong
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:6798-6809
Autor:
Cai, Jiahui, Wu, Ziling, Zheng, Wang, Zhu, Qiunan, Song, Zunyang, Chen, Weixin, Li, Xueping, Zhu, Xiaoyang
Publikováno v:
In Postharvest Biology and Technology November 2024 217
Autor:
Rahman, Faiz Ur, Zhu, Qiunan, Wu, Ziling, Li, Xueping, Chen, Weixin, Xiong, Tiantian, Zhu, Xiaoyang
Publikováno v:
In Postharvest Biology and Technology October 2024 216