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LARGE: 作品数：2051被引量：3613H指数：21; 导出分析报告; 相关领域：理学更多>>; 相关作者：梁国标肖海力唐国金高旭何小波更多>>; 相关机构：北京航空航天大学苏州恒星医用材料有限公司东南大学中国科学院更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Large language models make sample-efficient recommender systems: 《Frontiers of Computer Science》2025年第4期115-117,共3页Jianghao LIN Xinyi DAI Rong SHAN Bo CHEN Ruiming TANG Yong YU Weinan ZHANG; supported by the National Natural Science Foundation of China(Grant No.62177033).; 1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Cons...; 关键词：recommendation tasksand recommender systemsthey recommender systems large language models large language models llms recommender sy promoting sample efficiency natural language processing nlp showing

Potential role of large language models and personalized medicine to innovate cardiac rehabilitation: 《World Journal of Clinical Cases》2025年第19期1-4,共4页Rishith Mishra Hersh Patel Aleena Jamal Som Singh; Cardiac rehabilitation is a crucial multidisciplinary approach to improve patient outcomes.There is a growing body of evidence that suggests that these programs contribute towards reducing cardiovascular mortality and...; 关键词：Cardiac rehabilitation Large language models Patient education Motivational interviewing Artificial intelligence

Towards efficient and effective unlearning of large language models for recommendation: 《Frontiers of Computer Science》2025年第3期119-121,共3页Hangyu WANG Jianghao LIN Bo CHEN Yang YANG Ruiming TANG Weinan ZHANG Yong YU; supported by the National Natural Science Foundation of China(Grant No.62177033);sponsored by the Huawei Innovation Research Program.; 1 Introduction Large Language Models(LLMs)possess massive parameters and are trained on vast datasets,demonstrating exceptional proficiency in various tasks.The remarkable advancements in LLMs also inspire the explora...; 关键词：large language models llms possess user interaction data large language models instruction tuning recommendation unlearning

Causal Representation Enhances Cross-Domain Named Entity Recognition in Large Language Models: 《Computers, Materials & Continua》2025年第5期2809-2828,共20页Jiahao Wu Jinzhong Xu Xiaoming Liu Guan Yang Jie Liu; supported by National Natural Science Foundation of China Joint Fund for Enterprise Innovation Development(U23B2029);National Natural Science Foundation of China(62076167,61772020);Key Scientific Research Project of Higher Education Institutions in Henan Province(24A520058,24A520060,23A520022);Postgraduate Education Reform and Quality Improvement Project of Henan Province(YJS2024AL053).; Large language models cross-domain named entity recognition task in the face of the scarcity of large language labeled data in a specific domain,due to the entity bias arising from the variation of entity information ...; 关键词：Large language model entity bias causal graph structure

TIPS:Tailored Information Extraction in Public Security Using Domain-Enhanced Large Language Model: 《Computers, Materials & Continua》2025年第5期2555-2572,共18页Yue Liu Qinglang Guo Chunyao Yang Yong Liao; Processing police incident data in public security involves complex natural language processing(NLP)tasks,including information extraction.This data contains extensive entity information—such as people,locations,and ...; 关键词：Public security information extraction large language model prompt engineering

Amalgamation of Classical and Large Language Models for Duplicate Bug Detection:A Comparative Study: 《Computers, Materials & Continua》2025年第4期435-453,共19页Sai Venkata Akhil Ammu Sukhjit Singh Sehra Sumeet Kaur Sehra Jaiteg Singh; Duplicate bug reporting is a critical problem in the software repositories’mining area.Duplicate bug reports can lead to redundant efforts,wasted resources,and delayed software releases.Thus,their accurate identifica...; 关键词：Duplicate bug detection large language models information retrieval

基于改进MobileNetV3-Large食物图像分类算法研究: 《粮油食品科技》2025年第2期90-96,共7页何伟婵杨志景秦景辉; 国家自然科学基金-青年科学基金“知识增强的表示学习模型及其在应用题求解中的应用”(62206314);广东省基础与应用基础研究基金“初等数学应用题求解关键技术研究”(2022A1515011835)。; 食物图像识别在食物安全监控、营养分析以及饮食推荐系统中发挥重要作用。然而,食物图像的多样性、复杂性以及光照等外部因素给识别任务带来了诸多难度和挑战。为了解决这些问题,提出了一种基于改进MobileNetV3-Large食物图像分类算法。...; 关键词：MobileNetV3-Large NAM注意力机制 PReLu激活函数 TrivialAugment数据增强

Predicting outcomes using neural networks in the intensive care unit: 《World Journal of Clinical Cases》2025年第11期1-11,共11页Gumpeny R Sridhar Venkat Yarabati Lakshmi Gumpeny; Patients in intensive care units(ICUs)require rapid critical decision making.Modern ICUs are data rich,where information streams from diverse sources.Machine learning(ML)and neural networks(NN)can leverage the rich da...; 关键词：Large language models HALLUCINATIONS Supervised learning Unsupervised learning Convoluted neural networks BLACK-BOX WORKFLOW

Smart Contract Vulnerability Detection Using Large Language Models and Graph Structural Analysis: 《Computers, Materials & Continua》2025年第4期785-801,共17页Ra-Yeon Choi Yeji Song Minsoo Jang Taekyung Kim Jinhyun Ahn Dong-Hyuk Im; supported by the Seoul Business Agency(SBA),funded by the Seoul Metropolitan Government,through the Seoul R&BD Program(FB240022);by the Korea Institute for Advancement of Technology(KIAT),funded by the Korea Government(MOTIE)(RS-2024-00406796);through the HRD Program for Industrial Innovation;by the Excellent Researcher Support Project of Kwangwoon University in 2024.; Smart contracts are self-executing programs on blockchains that manage complex business logic with transparency and integrity.However,their immutability after deployment makes programming errors particularly critical,...; 关键词：Blockchain smart contract vulnerability detection large language model

The Development of Large Language Models in the Financial Field: 《Proceedings of Business and Economic Studies》2025年第2期49-54,共6页Yanling Liu Yun Li; With the rapid development of natural language processing(NLP)and machine learning technology,applying large language models(LLMs)in the financial field shows a significant growth trend.This paper systematically revie...; 关键词：Large language model Fintech Natural language processing Ethics of artificial intelligence

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