Zobrazeno 1 - 10
of 274
pro vyhledávání: '"WU Yanru"'
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 6, Pp 589-593 (2023)
ObjectiveTo explore the barriers and facilitators of the adherence of formal practice after mindfulness-based cognitive therapy （MBCT） in psychological counseling outpatients.MethodsOne-on-one interview was conducted in 15 psychological counselin
Externí odkaz:
https://doaj.org/article/bffa18324f81482bbc09f15e1f4f0315
Autor:
Chen, Dongping, Chen, Ruoxi, Pu, Shu, Liu, Zhaoyi, Wu, Yanru, Chen, Caixi, Liu, Benlin, Huang, Yue, Wan, Yao, Zhou, Pan, Krishna, Ranjay
Many real-world user queries (e.g. "How do to make egg fried rice?") could benefit from systems capable of generating responses with both textual steps with accompanying images, similar to a cookbook. Models designed to generate interleaved text and
Externí odkaz:
http://arxiv.org/abs/2411.17188
Large language models (LLMs) are increasingly impacting human society, particularly in textual information. Based on more than 30,000 papers and 1,000 presentations from machine learning conferences, we examined and compared the words used in writing
Externí odkaz:
http://arxiv.org/abs/2409.13686
Autor:
Tan, Yizhou, Wu, Yanru, Hou, Yuanbo, Xu, Xin, Bu, Hui, Li, Shengchen, Botteldooren, Dick, Plumbley, Mark D.
Audio Event Recognition (AER) traditionally focuses on detecting and identifying audio events. Most existing AER models tend to detect all potential events without considering their varying significance across different contexts. This makes the AER r
Externí odkaz:
http://arxiv.org/abs/2409.06580
Autor:
Lai, Jiahao, Li, Jiaqi, Xu, Jian, Wu, Yanru, Tang, Boshi, Chen, Siqi, Huang, Yongfeng, Ding, Wenbo, Li, Yang
Federated Learning (FL) offers a decentralized approach to model training, where data remains local and only model parameters are shared between the clients and the central server. Traditional methods, such as Federated Averaging (FedAvg), linearly a
Externí odkaz:
http://arxiv.org/abs/2409.05701
Aligned Large Language Models (LLMs) showcase remarkable versatility, capable of handling diverse real-world tasks. Meanwhile, aligned LLMs are also expected to exhibit speciality, excelling in specific applications. However, fine-tuning with extra d
Externí odkaz:
http://arxiv.org/abs/2404.10306
Multi-source transfer learning is an effective solution to data scarcity by utilizing multiple source tasks for the learning of the target task. However, access to source data and model details is limited in the era of commercial models, giving rise
Externí odkaz:
http://arxiv.org/abs/2312.12489
Entity-level fine-grained sentiment analysis in the financial domain is a crucial subtask of sentiment analysis and currently faces numerous challenges. The primary challenge stems from the lack of high-quality and large-scale annotated corpora speci
Externí odkaz:
http://arxiv.org/abs/2306.14096
Autor:
Liang, Xiaoxiao, Wu, Yanru, Deng, Yuehua, Zeng, Xingye, Shan, Shufeng, Jiang, Yanbin, Yang, Huaiyu
Publikováno v:
In Chemical Engineering Science 5 November 2024 299
Publikováno v:
In Journal of Fluids and Structures October 2024 129