Retracted: Design and Research of Artificial Intelligence in Multimedia Intelligent Question-Answering System and Self-Test System by Advances in Multimedia

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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

Subjects: “…question–answer methodology…”
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Research on E-Commerce Customer Feature Extraction Question Answering System Based on Artificial Intelligence Semantic Analysis by Wenbo Niu

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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

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Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation by Tomohisa Seki, Yoshimasa Kawazoe, Yoshimasa Kawazoe, Hiromasa Ito, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe, Kazuhiko Ohe

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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs by Yuchen Duan, Qingqing Zhou, Yu Li, Chi Qin, Ziyang Wang, Hongxing Kan, Hongxing Kan, Jili Hu, Jili Hu

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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study by Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

“…ObjectiveThis paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians’ queries on emerging issues associated with health-related topics, using user-generated medical information on social media. …”
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Research and practice of AI-based teacher-student service platform: a case study of Nanjing Audit University by WU Xin, WANG Weiye

Subjects: “…AI intelligent question answering…”
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Explorando el potencial de la inteligencia artificial en traumatología: respuestas conversacionales a preguntas específicas by F. Canillas del Rey, M. Canillas Arias

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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

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Development of local knowledge base application using retrieval augmented generation technology by ZHU Junyi, ZHU Shangming

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Spectrum knowledge graph: an intelligent engine facing future spectrum management by Jiachen SUN, Jinlong WANG, Guoru DING, Jin CHEN, Yuping GONG

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A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis by Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou

Subjects: “…Radiology report generation medical visual question answering medical visual grounding…”
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Soru-Cevap İlişkisi Stratejisi Öğretiminin Dördüncü Sınıf Öğrencilerinin Okuduğunu Anlama ve Soru Sorma Düzeylerine Etkisi by Mehmet Can, Mustafa Yıldız

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Enterprise chart question and answer method based on multi modal cross fusion by Xinxin Wang, Liang Chen, Changhong Liu, Jinyu Liu

“…Experimental validation has demonstrated that our method achieves a precision of 91.58% in chart information extraction and a chart question-answering accuracy of 82.24%, fully proving the significant advantages of our proposed method in enhancing chart text recognition and question-answering capabilities. …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…Results: ECG-LM outperforms existing few-shot and zero-shot solutions in cardiovascular disease detection across all 3 tasks (diagnostic, rhythm, and form) while also demonstrating strong potential in ECG-related question answering. Conclusions: The results across various tasks demonstrate that ECG-LM effectively captures the intricate features of ECGs, showcasing its versatility in applications such as disease prediction and advanced question answering.…”
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A multi-feature fusion exercise recommendation model based on knowledge tracing machines by ZHUGE Bin, WANG Ying, XIAO Mengfan, YAN Lei, WANG Bingyan, DONG Ligang, JIANG Xian

“…Nevertheless, traditional algorithms have often lacked a deep understanding of student characteristics and failed to adequately explore the relationship between knowledge mastery and question-answering behaviors, leading to low recommendation accuracy. …”
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Dominance-Partitioned Subgraph Matching on Large RDF Graph by Bo Ning, Yunhao Sun, Deji Zhao, Weikang Xing, Guanyu Li

“…Subgraph matching on a large graph has become a popular research topic in the field of graph analysis, which has a wide range of applications including question answering and community detection. However, traditional edge-cutting strategy destroys the structure of indivisible knowledge in a large RDF graph. …”
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FEASIBILITY OF USING LOW-PARAMETER LOCAL LLMS IN ANSWERING QUESTIONS FROM ENTERPRISE KNOWLEDGE BASE by Marcin BADUROWICZ, Stanisław SKULIMOWSKI, Maciej LASKOWSKI

“…This paper evaluates the feasibility of deploying locally-run Large Language Models (LLMs) for retrieval-augmented question answering (RAG-QA) over internal knowledge bases in small and medium enterprises (SMEs), with a focus on Polish-language datasets. …”
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The Predicament of Ethnic Federal System by Yohannes Getahun

“…How a given ethnic federal system designed to adjust ethnic relations could self-contradictory induce far-reaching communal ethnic conflicts and ethnic based anti-regime activities is an interesting question. Answering that, the paper has given due consideration to the practices of defunct, fragile and mature ethnic federations and to the relevant conceptual and theoretical-back standings. …”
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