Trustworthy AI: Securing Sensitive Data in Large Language Models by Georgios Feretzakis, Vassilios S. Verykios

“…Large language models (LLMs) have transformed Natural Language Processing (NLP) by enabling robust text generation and understanding. …”
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Diffusion Model as a Base for Cold Item Recommendation by Jungkyu Han, Sejin Chun

“…As a generative model, diffusion models have achieved success in various fields, such as image generation and natural language processing, through their superior generative capability. …”
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Leveraging big data in health care and public health for AI driven talent development in rural areas by Jing Zhou, Li Li, Jiahang Su

“…Motivated by the persistent shortage of skilled professionals in underserved areas and the limitations of traditional recruitment methods, we leverage big data analytics and natural language processing to address workforce distribution imbalances.MethodsBy analyzing diverse data sources such as social media, surveys, and job satisfaction reports, the Transformer model identifies complex, context-specific factors influencing candidate preferences, including career advancement opportunities, lifestyle alignment, and community engagement.ResultsOur framework offers a personalized, data-driven mechanism to match healthcare professionals with rural roles effectively. …”
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Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective by Ernests Lavrinovics, Russa Biswas, Johannes Bjerva, Katja Hose

“…Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) based applications including automated text generation, question answering, chatbots, and others. …”
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$$\texttt {DiffER}$$ DiffER : categorical diffusion ensembles for single-step chemical retrosynthesis by Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy

“…Abstract Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through transformer neural networks. …”
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Rethinking survey development in health research with AI-driven methodologies by Hakan Kuru

“…Drawing on natural language processing, automated text analysis, real-time data monitoring, and predictive modeling, the framework outlines how AI tools can help researchers proactively uncover linguistic nuances, identify hidden patterns, and refine instruments with greater speed and rigor, ultimately enhancing validity, inclusivity, and interpretive richness. …”
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Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method by Harman Akbar Tullah, Muh Akbar, Alem Febri Sonni, Akbar Iskandar, Erwin Gatot Amiruddin, Kamaruddin, Asnimar

“…Using advanced techniques such as social network analysis and Python language processing, as well as the application of the Naive Bayes algorithm, this research carefully examines the conversation patterns and topic trends prevalent on Twitter during the CPNS selection phase. …”
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Fine-Tuned Transformer Models for Keyword Extraction in Skincare Recommendation Systems by Ni Putu Adnya Puspita Dewi, Desy Purnami Singgih Putri, I Nyoman Prayana Trisna

“…In this context, a text-based recommendation system that utilizes advances in Natural Language Processing (NLP) technology is a promising solution. …”
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Enhancing Efficiency and Regularization in Convolutional Neural Networks: Strategies for Optimized Dropout by Mehdi Ghayoumi

“…<b>Background/Objectives:</b> Convolutional Neural Networks (CNNs), while effective in tasks such as image classification and language processing, often experience overfitting and inefficient training due to static, structure-agnostic regularization techniques like traditional dropout. …”
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First impressions of a humanoid social robot with natural language capabilities by Damith Herath, Janie Busby Grant, Adrian Rodriguez, Jenny L. Davis

“…Abstract Concurrent developments in robotic design and natural language processing (NLP) have enabled the production of humanoid chatbots that can operate in commercial and community settings. …”
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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…It looks at how healthcare AI techniques like deep learning, natural language processing, or even predictive analytics can revolutionize the industry by changing how treatments are administered to be based on the individual profiles of each patient. …”
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Registered Report: Neural correlates of thematic role assignment for passives in Standard Indonesian. by Bernard A J Jap, Yu-Yin Hsu, Stephen Politzer-Ahles

“…There is evidence that frequency of syntactic structure plays an important role in language processing. To address this potential confounding variable, we test Standard Indonesian, a language where passive structures occur with high frequency and are comparable in frequency to active structures. …”
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Enhancing Keyword Search in Relational Databases With Word Embeddings by Fatemeh Khalifeh, Mohammad Taheri, Eghbal Mansoori, Mostafa Fakhrahmad

“…This paper introduces Key2Vec as a framework for leveraging the Natural Language Processing (NLP) techniques, specifically Word2Vec embeddings, for enhancing the keyword search in relational databases. …”
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Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation by YUAN Weilin, ZHAO Weiwei, HU Zhenzhen, CAO Wei, HE Jun, DONG Shaojin, WANG Chengyuan, WANG Shengqing

“…Intelligence processing enabled by advanced artificial intelligence technologies, such as natural language processing and computer vision, greatly improves the efficiency of intelligence production and is widely used in the field of security. …”
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Quel engouement pour « .brussels » ? Analyse de l’utilisation de « .brussels » comme extension de nom de domaine de premier niveau by Margot Waty, Seth van Hooland, Simon Hengchen, Mathias Coeckelbergs, Max De Wilde, Jean-Michel Decroly

“…By making use of freely available software tools such as OpenRefine and Natural Language Processing (NLP) methods, the entire corpus of the .brussels domain names (6 300) was analysed from a quantitative perspective. …”
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VALICO-UD: Treebanking an Italian Learner Corpus in Universal Dependencies by Elisa Di Nuovo, Manuela Sanguinetti, Alessandro Mazzei, Elisa Corino, Cristina Bosco

“…Aiming at building a parallel treebank currently missing for Italian L2, comparable with those exploited in Natural Language Processing tasks, we associated each learner sentence with a target hypothesis (i.e. a corrected version of the learner sentence written by an Italian native speaker), which is in turn annotated in Universal Dependencies. …”
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A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques by Asma Adala, Nabil Tabbane, Sami Tabbane

“…We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description. …”
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The influence of AI on price forecasting. The view of the academic community by Alexandra-Cristina-Daniela Ciuverca, Simona‑Vasilica Oprea

“…The present study aims to capture, by using several Natural Language Processing techniques, the feeling that the academic community has in relation to the subject of price prediction and the way in which opinions have evolved over the years. …”
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval. by Bowen Zeng, Xianhe Shang, Rong Lu, Yugui Zhang

“…Text classification plays an essential role in natural language processing and is commonly used in tasks like categorizing news, sentiment analysis, and retrieving relevant information. [0pc][-9pc]Please check and confirm the inserted city and country name for affiliation 1 is appropriate.However, existing models often struggle to perform well on multi-class tasks or complex documents. …”
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Using AI and NLP for Tacit Knowledge Conversion in Knowledge Management Systems: A Comparative Analysis by Ouissale Zaoui Seghroucheni, Mohamed Lazaar, Mohammed Al Achhab

“…This paper presents a comparative analysis of natural language processing (NLP) algorithms used for document and report mining to facilitate tacit knowledge conversion. …”
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