Systematic review of question answering over knowledge bases by Arnaldo Pereira, Alina Trifan, Rui Pedro Lopes, José Luís Oliveira

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Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA (Visual Question Answering) systems are among the latest advancements in the fields of artificial intelligence and deep learning. …”
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Means of Question-Answer Interaction for Collaborative Development Activity by Petr Sosnin

“…In this paper, a number of question-answer means for modeling reasoning are suggested. …”
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Dual-Channel Reasoning Model for Complex Question Answering by Xing Cao, Yun Liu, Bo Hu, Yu Zhang

“…Multihop question answering has attracted extensive studies in recent years because of the emergence of human annotated datasets and associated leaderboards. …”
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Visual Question Answering in Robotic Surgery: A Comprehensive Review by Di Ding, Tianliang Yao, Rong Luo, Xusen Sun

Subjects: “…Surgical visual question answering…”
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QAR (QUESTION ANSWER RELATIONSHIP) AS AN ALTERNATIVE STRATEGY TO TEACH READING by Sa’dulloh Muzammil

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Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering by Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu

Subjects: “…visual question answering…”
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Knowledge Graphs as a source of trust for LLM-powered enterprise question answering by Juan Sequeda, Dean Allemang, Bryon Jacob

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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

Subjects: “…Medical visual question answering…”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…To solve the problem, we regard ADR detection as a question-answer problem and introduces an innovative neural network framework with multiple GRU layers designed for extracting ADR-related information from tweets. …”
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cLegal-QA: a Chinese legal question answering with natural language generation methods by Yizhen Wang, Xueying Shen, Zixian Huang, Lihui Niu, Shiyan Ou

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

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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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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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