Zobrazeno 1 - 10
of 568
pro vyhledávání: '"CHEN Yuyan"'
Publikováno v:
智慧农业, Vol 6, Iss 3, Pp 46-57 (2024)
ObjectiveThe accurate estimation of terraced field areas is crucial for addressing issues such as slope erosion control, water retention, soil conservation, and increasing food production. The use of high-resolution remote sensing imagery for terrace
Externí odkaz:
https://doaj.org/article/889fb8bc6f01417ab5d015cfd2168a09
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 905-915 (2024)
Inflammatory bowel disease (IBD) is a chronic inflammatory disease characterized by intestinal barrier dysfunction, inflammatory synergistic effects and excessive tissue injury. Gallic acid (GA) is renowned for its remarkable biological activity, enc
Externí odkaz:
https://doaj.org/article/8d4d615a13eb4c5e89000293e4b52004
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 6, Pp 891-894,907 (2024)
Objective To investigate the potential association between 221 types of gut microbiota and hepatocellular carcinoma (HCC) using a two-sample Mendelian randomization approach, providing insights for the prevention and treatment of HCC. Methods The HCC
Externí odkaz:
https://doaj.org/article/1c9b016afc9d44d19660ed1a7f01118e
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge for machines. While advances have been made in natural language processing, real-world humor often thrives in a multi-modal context, encapsulated distinctively b
Externí odkaz:
http://arxiv.org/abs/2407.17152
Autor:
Chen, Yuyan, Fu, Qiang, Fan, Ge, Du, Lun, Lou, Jian-Guang, Han, Shi, Zhang, Dongmei, Li, Zhixu, Xiao, Yanghua
Recent years, Pre-trained Language models (PLMs) have swept into various fields of artificial intelligence and achieved great success. However, most PLMs, such as T5 and GPT3, have a huge amount of parameters, fine-tuning them is often expensive and
Externí odkaz:
http://arxiv.org/abs/2407.11033
Autor:
Chen, Yuyan, Wen, Zhihao, Fan, Ge, Chen, Zhengyu, Wu, Wei, Liu, Dayiheng, Li, Zhixu, Liu, Bang, Xiao, Yanghua
Prompt engineering, as an efficient and effective way to leverage Large Language Models (LLM), has drawn a lot of attention from the research community. The existing research primarily emphasizes the importance of adapting prompts to specific tasks,
Externí odkaz:
http://arxiv.org/abs/2407.04118
Autor:
Chen, Yuyan, Fu, Qiang, Yuan, Yichen, Wen, Zhihao, Fan, Ge, Liu, Dayiheng, Zhang, Dongmei, Li, Zhixu, Xiao, Yanghua
Large Language Models (LLMs) have gained widespread adoption in various natural language processing tasks, including question answering and dialogue systems. However, a major drawback of LLMs is the issue of hallucination, where they generate unfaith
Externí odkaz:
http://arxiv.org/abs/2407.04121
Humor understanding is an important and challenging research in natural language processing. As the popularity of pre-trained language models (PLMs), some recent work makes preliminary attempts to adopt PLMs for humor recognition and generation. Howe
Externí odkaz:
http://arxiv.org/abs/2407.04105
Automated code generation is a pivotal capability of large language models (LLMs). However, assessing this capability in real-world scenarios remains challenging. Previous methods focus more on low-level code generation, such as model loading, instea
Externí odkaz:
http://arxiv.org/abs/2406.04712
Large Language Models (LLMs) have demonstrated efficacy in various linguistic applications, including text summarization and controlled text generation. However, studies into their capacity of switching between styles via fine-tuning remain underexpl
Externí odkaz:
http://arxiv.org/abs/2403.09131