Zobrazeno 1 - 10
of 391
pro vyhledávání: '"Wang Xingbo"'
Autor:
Lou Lei, Wang Lianjie, Zhou Bingyan, Zhao Chen, Zhang Bin, Yan Mingyu, Zhang Ce, Xiang Hongzhi, Cai Yun, Wang Xingbo, Zhao Zifan, Zhou Nan, Liu Jiayi
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
The fast reactor is gradually being paid attention to in nuclear power due to a better breeding effect, and its economy is also directly followed. Due to the restriction of the core power density, the core power level is directly related to the volum
Externí odkaz:
https://doaj.org/article/5b63fec6adc5412da91298a3d1755234
Preparing a lesson plan, e.g., a detailed road map with strategies and materials for instructing a 90-minute class, is beneficial yet challenging for novice teachers. Large language models (LLMs) can ease this process by generating adaptive content f
Externí odkaz:
http://arxiv.org/abs/2408.01102
Conversational Agents (CAs) acting as peer supporters have been widely studied and demonstrated beneficial for people's mental health. However, previous peer support CAs either are user-initiated or follow predefined rules to initiate the conversatio
Externí odkaz:
http://arxiv.org/abs/2407.18064
Large language models (LLMs) have exhibited impressive abilities for multimodal content comprehension and reasoning with proper prompting in zero- or few-shot settings. Despite the proliferation of interactive systems developed to support prompt engi
Externí odkaz:
http://arxiv.org/abs/2406.03843
Autor:
Chen, Qiaoyi, Liu, Siyu, Huang, Kaihui, Wang, Xingbo, Ma, Xiaojuan, Zhu, Junkai, Peng, Zhenhui
Reading and repeatedly retelling a short story is a common and effective approach to learning the meanings and usages of target words. However, learners often struggle with comprehending, recalling, and retelling the story contexts of these target wo
Externí odkaz:
http://arxiv.org/abs/2405.14794
Extraction and synthesis of structured knowledge from extensive scientific literature are crucial for advancing and disseminating scientific progress. Although many existing systems facilitate literature review and digest, they struggle to process mu
Externí odkaz:
http://arxiv.org/abs/2404.13765
The proliferation of large language models (LLMs) has revolutionized the capabilities of natural language interfaces (NLIs) for data analysis. LLMs can perform multi-step and complex reasoning to generate data insights based on users' analytic intent
Externí odkaz:
http://arxiv.org/abs/2404.01644
Autor:
Wu, Chi-hsuan, Liu, Shih-yang, Huang, Xijie, Wang, Xingbo, Zhang, Rong, Minciullo, Luca, Yiu, Wong Kai, Kwan, Kenny, Cheng, Kwang-Ting
Online learning is a rapidly growing industry. However, a major doubt about online learning is whether students are as engaged as they are in face-to-face classes. An engagement recognition system can notify the instructors about the students conditi
Externí odkaz:
http://arxiv.org/abs/2312.09066
Vocabulary learning support tools have widely exploited existing materials, e.g., stories or video clips, as contexts to help users memorize each target word. However, these tools could not provide a coherent context for any target words of learners'
Externí odkaz:
http://arxiv.org/abs/2308.03864
Autor:
He, Jianben, Wang, Xingbo, Wong, Kam Kwai, Huang, Xijie, Chen, Changjian, Chen, Zixin, Wang, Fengjie, Zhu, Min, Qu, Huamin
Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and laborious manual inspection. While data programming shows promise in generat
Externí odkaz:
http://arxiv.org/abs/2308.00401