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0 | 0 | JOUR | Tasneem, O.; Pieters, R. | Human–robot collaborative visual inspection with Large Language Models | 2026 | Robotics and Computer-Integrated Manufacturing | 98 | 103154 | 10.1016/j.rcim.2025.103154 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017768649&doi=10.1016%2Fj.rcim.2025.103154&partnerID=40&md5=4cccb67be8e491d9623d49d7b807ddb2 | Human–Robot Collaboration (HRC) is gaining traction in advanced manufacturing as industries shift from isolated robotic systems to more collaborative environments. This transition is supported by advancements in automation and more recently, Generative AI. Large Language Models (LLMs) offer new possibilities for intuit... | Auto path planning; Generative AI; Human–robot collaboration; Large Language Models; Local LLM; Natural language processing; Prompt engineering; Visual inspection; Collaborative robots; Computational linguistics; Inspection; Man machine systems; Natural language processing systems; Robot programming; Visual languages; ... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
1 | 1 | CONF | Tahat, A.; Amundson, I.; Hardin, D.; Cofer, D. | AGREE-Dog Copilot: A Neuro-Symbolic Approach to Enhanced Model-Based Systems Engineering | 2026 | Lecture Notes in Computer Science | 16220 LNCS | null | 10.1007/978-3-032-07132-3_8 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105020252932&doi=10.1007%2F978-3-032-07132-3_8&partnerID=40&md5=df03a48c59383729a4c8cd82cc3bc39e | Formal verification tools like model checkers have long demonstrated their capability to ensure mission-critical properties are satisfied, yet their adoption in the aerospace and defense industries remains limited. Among the various reasons for slow uptake, difficulty in understanding analysis results (i.e., counterexa... | AADL; AGREE; Compositional reasoning; Formal verification; LLM; MBSE; Memory architecture; Model checking; Open source software; Open systems; Theorem proving; AADL; Aerospace and defense industry; AGREE; Compositional reasoning; Critical properties; Formal verification tools; LLM; Mission critical; Model checker; Mode... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 1 | 117 | 137 | null | null |
2 | 2 | CONF | Charan, K.V.; Redhu, S.; Soni, G.; Singh, M. | Application of a Large Language Model (LLM) for Failure Modes and Effects Analysis (FMEA) | 2026 | Mechanisms and Machine Science | 185 | null | 10.1007/978-3-031-95963-9_43 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105020244560&doi=10.1007%2F978-3-031-95963-9_43&partnerID=40&md5=0966a3c7ffb63e11164dfa0205524c5a | During its operational lifespan, equipment used in chemical, mechanical, and metallurgical process plants is subjected to various degradation mechanisms, including corrosion, erosion, fatigue, and deformation. These factors can severely impact equipment integrity, increasing the likelihood of failure. While complete el... | Failure modes and effects analysis (FMEA); Large language models (LLMs); Retrieval augmented generation (RAG); Asset management; Chemical equipment; Corrosion; Failure (mechanical); Failure modes; Open source software; Open systems; Outages; Software reliability; Chemical process; Failure mode and effect analyze; Failu... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 619 | 634 | null | null |
3 | 3 | CONF | Schiese, D.; Both, A. | Post-hoc LLM-Supported Debugging of Distributed Processes | 2026 | Lecture Notes in Computer Science | 15749 LNCS | null | 10.1007/978-3-031-97207-2_31 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105020008792&doi=10.1007%2F978-3-031-97207-2_31&partnerID=40&md5=abfbdd185f1bc7caa789ae707ff394ef | In this paper, we address the problem of manual debugging, which nowadays remains resource-intensive and in some parts archaic. This problem is especially evident in increasingly complex and distributed software systems. Therefore, our objective of this work is to introduce an approach that can possibly be applied to a... | AI-supported Software Development; Debugging; LLM; Computer debugging; Distributed computer systems; Natural language processing systems; Open source software; Open systems; Software design; AI-supported software development; Complex software systems; Debugging; Debugging process; Distributed process; Distributed softw... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 379 | 382 | null | null |
4 | 4 | CONF | Nowicki, F.; Charliński, A.; Wójtowicz, A. | Future Designer - Generative AI Meets Interior Design | 2026 | Lecture Notes in Computer Science | 16022 | null | 10.1007/978-3-032-06129-4_42 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105020008484&doi=10.1007%2F978-3-032-06129-4_42&partnerID=40&md5=766f753a1f4fcdfabc2e008d6e2552d0 | Interior design visualization plays a crucial role in property evaluation, yet traditional methods, such as professional consultations and 3D modeling, are often time-consuming and costly. This paper introduces an AI-driven system that enables room customization in real time through automated image generation and intel... | Diffusion; Interior design; Vision language model; Architectural design; Decision making; Interiors (building); Open source software; Open systems; Software design; Three dimensional computer graphics; Visualization; 3D models; 3d-modeling; Customisation; Design visualization; Driven system; Interior designs; Language ... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 516 | 520 | null | null |
5 | 5 | CONF | Taheri, M.; Tan, K.; Flaten, O.E.; Cyma-Wejchenig, M. | Enhancing Education Training with A Virtual Reality-Based Simulator Integrated Generative AI | 2026 | Lecture Notes in Computer Science | 15743 LNCS | null | 10.1007/978-3-031-97781-7_29 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018906734&doi=10.1007%2F978-3-031-97781-7_29&partnerID=40&md5=445b29793ae06e57a903736f7641245f | This research explores the development of an advanced AI-driven dialogue simulator specifically designed to assist educators in effectively practicing and navigating various pedagogical scenarios through role-playing. The system integrates state-of-the-art generative AI with virtual reality (VR), utilizing dynamic 3D a... | Dialogue Simulator; Generative AI; Immersive Learning; Personalized Education; Virtual Reality; Artificial intelligence; Computer aided instruction; E-learning; Engineering education; Interactive computer graphics; Iterative methods; Learning systems; Open systems; Personnel training; Speech communication; Teaching; Th... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 394 | 406 | null | null |
6 | 6 | JOUR | null | 12th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2024 | 2026 | Communications in Computer and Information Science | 2547 CCIS | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017383862&partnerID=40&md5=11177f0cd269de0b5c395c1b62883780 | The proceedings contain 40 papers. The special focus in this conference is on Model-Based Software and Systems Engineering. The topics include: Model-Based Assessment of Conformance to Acknowledged Security-Related Software Architecture Good Practices; the Lifecycle of Data Clumps: A Longitudinal Case Study in Open-Sou... | null | Conference review | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
7 | 7 | CONF | Ali, U.; Lynden, S.; Matono, A.; Amagasa, T. | Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features | 2026 | Lecture Notes in Computer Science | 16046 LNCS | null | 10.1007/978-3-032-02049-9_5 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017377899&doi=10.1007%2F978-3-032-02049-9_5&partnerID=40&md5=0ef1ec5347616ef220a4e361fc9e71b9 | Large Language Models (LLMs) exhibit remarkable performance across a range of tasks, including question answering. However, their tendency to hallucinate, sometimes producing misleading or incorrect responses, remains a critical challenge. In this work, we investigate how LLM-generated answers align with structured rel... | Data science techniques; Graph management and analytics; Large Language Models; Graph theory; Knowledge graph; Question answering; Critical challenges; Data science technique; Derived features; Graph features; Graph management and analytic; Knowledge graphs; Language model; Large language model; Performance; Question A... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 68 | 82 | null | null |
8 | 8 | CONF | Stoffregen, K.; Stibe, A. | SMEDT: AI-First Discovery of a Digital Transformation Framework for Small to Medium-Sized Enterprises | 2026 | Lecture Notes in Computer Science | 16066 LNCS | null | 10.1007/978-3-032-02060-4_3 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014087697&doi=10.1007%2F978-3-032-02060-4_3&partnerID=40&md5=2e01c6fc0e402aa05aba78ae757bf22e | Small to Medium-sized Enterprises (SMEs) are vital to Europe’s economy but continue lagging behind larger firms in digital transformation (DT). This study identifies key SME-specific DT challenges: financial constraints, limited technical expertise, lack of strategic direction, and organizational resistance, through an... | AI-First; Artificial Intelligence; Digital Transformation; SME; SMEDT Framework; Economic and social effects; AI-first; Digital transformation; Enterprise IS; Financial constraints; Literature reviews; Organisational; Small to medium-sized enterprise; SMEDT framework; Strategic direction; Technical expertise; Knowledge... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 31 | 43 | null | null |
9 | 9 | CONF | van Buren, C.; Jiang, X.; Lin, J.; Wani, S.G.; Dholakia, A.; Ellison, D. | Evaluation Considerations of Synthetic Natural Language Datasets for Question Answering Applications | 2026 | Lecture Notes in Computer Science | 15337 LNCS | null | 10.1007/978-3-031-93858-0_9 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105012923645&doi=10.1007%2F978-3-031-93858-0_9&partnerID=40&md5=d0064ca1f68b8f1cf6fa4ffd60db4a1f | The rapid advancements in transformer-based language models have opened new possibilities for applications such as question answering and synthetic dataset generation. However, generating high-quality synthetic datasets can be computationally expensive and require significant resources. Fine-tuning a language model on ... | Generative AI; Language Models; Machine Learning; Natural Language Processing; Open-Source Models; Retrieval Augmented Fine-tuning; Synthetic Data; Artificial intelligence; Computational linguistics; Learning algorithms; Learning systems; Natural language processing systems; Open Data; Open systems; Question answering;... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 134 | 147 | null | null |
10 | 10 | CONF | Johny, A.; Schneiders, E.; Clos, J. | APOLLO: An Open Platform for LLM-Based Multi-agent Interaction Research | 2026 | Communications in Computer and Information Science | 2542 CCIS | null | 10.1007/978-3-031-97177-8_10 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011991963&doi=10.1007%2F978-3-031-97177-8_10&partnerID=40&md5=547a0df2d9c52721d5fb0d8a48d0ba89 | Traditional decision-making processes often struggle to capture diverse stakeholder perspectives and anticipate potential outcomes. Complex decisions and persuasions might rely on insights and perspectives which might not be available. In this paper, we leverage recent advances in large language models and retrieval-au... | Decision-Making; Generative AI; Human-AI Interaction; Large Language Models; LLM; Multi-Agent Systems; Research Software; Behavioral research; Computational methods; Distributed computer systems; Human computer interaction; Intelligent agents; Open source software; Open systems; Decisions makings; Generative AI; Human-... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 107 | 112 | null | null |
11 | 11 | JOUR | null | 30th International Conference on Natural Language and Information Systems, NLDB 2025 | 2026 | Lecture Notes in Computer Science | 15837 LNCS | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011056316&partnerID=40&md5=022ab35efd24184f624620e139129fbb | The proceedings contain 54 papers. The special focus in this conference is on Natural Language and Information Systems. The topics include: Accelerating End-to-End PDF to Markdown Conversion Through Assisted Generation; Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction; a Multipl... | null | Conference review | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
12 | 12 | JOUR | null | 30th International Conference on Natural Language and Information Systems, NLDB 2025 | 2026 | Lecture Notes in Computer Science | 15836 LNCS | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010841416&partnerID=40&md5=f001a022022fcea6145e10f24e2e0d8c | The proceedings contain 54 papers. The special focus in this conference is on Natural Language and Information Systems. The topics include: Accelerating End-to-End PDF to Markdown Conversion Through Assisted Generation; Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction; a Multipl... | null | Conference review | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
13 | 13 | CONF | Abhin, B.; Kumar M, H.; Kamath S, S.; Sugumaran, V. | Leveraging Generative AI for Chronic Kidney Disease Prediction: A Comparative Study of Open-Source LLMs | 2026 | Lecture Notes in Computer Science | 15836 LNCS | null | 10.1007/978-3-031-97141-9_15 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010835536&doi=10.1007%2F978-3-031-97141-9_15&partnerID=40&md5=a3a55800d13641f02a4b28b2374367a1 | Generative AI models have transformed real-world applications, particularly in Natural Language Processing (NLP), enabling zero-shot inference across various tasks. They have also advanced zero-shot visual understanding, Agentic AI, and information retrieval. Unlike traditional models requiring task-specific fine-tunin... | Chronic kidney disease (CKD); In-context learning; Large Language Models (LLMs); Supervised Fine tuning (SFT); Artificial intelligence; Diseases; Human computer interaction; Logistic regression; Medical computing; Natural language processing systems; Tuning; Chronic kidney disease; Context learning; Fine tuning; In con... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 216 | 228 | null | null |
14 | 14 | CONF | Rafiei Oskooei, A.; Caglar, E.; Şahin, I.; Kayabay, A.; Aktas, M.S. | Whisper, Translate, Speak, Sync: Video Translation for Multilingual Video Conferencing Using Generative AI | 2026 | Lecture Notes in Computer Science | 15890 LNCS | null | 10.1007/978-3-031-97606-3_15 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010815689&doi=10.1007%2F978-3-031-97606-3_15&partnerID=40&md5=b4d94d4cfa4878bcfd951c43fc8b7d39 | This paper addresses the growing need for seamless communication in multilingual video conferencing by presenting a novel, computationally efficient methodology for real-time video translation. While advancements in neural networks have enabled accurate speech translation and voice cloning, integrating these with lip s... | Computer Vision; Deep Learning; Generative AI; Human-AI Interaction; Video Conferencing; Video Translation; Deep learning; Human computer interaction; Network architecture; Neural networks; Open systems; Speech communication; Speech recognition; Speech transmission; Translation (languages); Computationally efficient; G... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 217 | 234 | null | null |
15 | 15 | JOUR | Kyro, G.W.; Martin, M.T.; Watt, E.D.; Batista, V.S. | CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability | 2025 | Journal of Cheminformatics | 17 | 30 | 10.1186/s13321-025-00976-8 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000042566&doi=10.1186%2Fs13321-025-00976-8&partnerID=40&md5=041118a8f789cf11d6b4a4927b6b88d2 | The link between in vitro hERG ion channel inhibition and subsequent in vivo QT interval prolongation, a critical risk factor for the development of arrythmias such as Torsade de Pointes, is so well established that in vitro hERG activity alone is often sufficient to end the development of an otherwise promising drug c... | Deep learning; Drug discovery; Generative AI; Graph neural networks; hERG; Machine learning; Molecular optimization; Transformers | Article | Scopus | Export Date: 07 November 2025; Cited By: 5 | null | null | 1 | null |
16 | 16 | JOUR | Vanicek, T.; Šenkeřík, J.; Popelka, S. | ET2GIS & ET2QGIS tools: integrating ET2Spatial outputs into GIS for eye movement analysis of web maps | 2025 | Earth Science Informatics | 18 | 535 | 10.1007/s12145-025-02029-y | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019337232&doi=10.1007%2Fs12145-025-02029-y&partnerID=40&md5=ed16ed5d56a068e6eb525c42b23e067e | We present ET2GIS and ET2QGIS, two toolkits that integrate georeferenced eye-tracking (ET) data into mainstream GIS (ArcGIS Pro and QGIS). Built on ET2Spatial, which converts screen-space gaze into geographic coordinates, the toolkits enable GIS-native analysis and visualisation of FIX/RAW layers. ET2GIS (ArcGIS Pro to... | Eye tracking; Gaze behaviour; Geovisualisation; GIS; Spatial analysis; Web maps; GIS; movement; spatial analysis; tracking; World Wide Web | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 4 | null |
17 | 17 | JOUR | Dong, Y.; Mu, R.; Zhang, Y.; Sun, S.; Zhang, T.; Wu, C.; Jin, G.; Qi, Y.; Hu, J.; Meng, J.; Bensalem, S.; Huang, X. | Safeguarding large language models: a survey | 2025 | Artificial Intelligence Review | 58 | 382 | 10.1007/s10462-025-11389-2 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019259640&doi=10.1007%2Fs10462-025-11389-2&partnerID=40&md5=bfdd0fe724c098eeb7ee2913c1a3f193 | In the burgeoning field of Large Language Models (LLMs), developing a robust safety mechanism, colloquially known as “safeguards” or “guardrails”, has become imperative to ensure the ethical use of LLMs within prescribed boundaries. This article provides a systematic literature review on the current status of this crit... | Generative AI; Guardrails; Large language models; Safeguards; Trustworthy AI; Artificial intelligence; Computational linguistics; Ethical technology; Life cycle; Surveying; Current status; Ethical issues; Generative AI; Guardrail; Language model; Large language model; Safeguard; Safety mechanisms; Systematic literature... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 12 | null |
18 | 18 | JOUR | Satapathy, S.M.; Paul, M.G.; Garg, A.; Bhatnagar, S. | GAN-Enhanced Hybrid Deep Learning with Explainable AI for Automated Cataract Diagnosis | 2025 | Journal of Medical Systems | 49 | 123 | 10.1007/s10916-025-02249-1 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017579551&doi=10.1007%2Fs10916-025-02249-1&partnerID=40&md5=b3dad25e7e4a04610d3146ef5c1d88aa | Cataracts, among the most prevalent eye disorders, result in diminished vision due to cloudiness in the eye’s natural lens. Timely diagnosis is crucial for preventing irreversible damage. While effective, existing automated systems encounter difficulties like limited dataset variety, lack of interpretability, and subop... | Artificial intelligence; Cataract; Deep learning; GANs; Transfer learning; XAI; Article; binary classification; cataract; clinical decision making; clinical outcome; cohort analysis; contrast enhancement; controlled study; convolutional neural network; cross validation; deep learning; diagnostic accuracy; diagnostic im... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 1 | null |
19 | 19 | JOUR | Luo, M.-J.; Bi, S.; Pang, J.; Liu, L.; Tsui, C.-K.; Lai, Y.; Chen, W.; Yang, Y.; Xu, K.; Zhao, L.; Jin, L.; Lin, D.; Wu, X.; Chen, J.; Chen, R.; Liu, Z.; Zou, Y.; Yang, Y.; Li, Y.; Lin, H. | A large language model digital patient system enhances ophthalmology history taking skills | 2025 | npj Digital Medicine | 8 | 502 | 10.1038/s41746-025-01841-6 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105012529876&doi=10.1038%2Fs41746-025-01841-6&partnerID=40&md5=69e453272aef6ba262abf1f1094ac35e | Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that transforms de‑identified electronic health records into voice‑enabled virtual pa... | Electronic health record; Learning systems; Medical computing; Open systems; Personnel training; Students; Adaptive feedback; Electronic health; Feed-back based; Free texts; Health records; Language model; Medical history; Model-based OPC; Open-source; Virtual patients; Ophthalmology; anamnesis; article; controlled stu... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 1 | null |
20 | 20 | JOUR | Evenstein Sigalov, S.; Cohen, A. | Leveraging Wikipedia for educational innovation: a higher education course model for enhancing students’ competencies and collaborative knowledge creation | 2025 | International Journal of Educational Technology in Higher Education | 22 | 27 | 10.1186/s41239-025-00518-0 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003247290&doi=10.1186%2Fs41239-025-00518-0&partnerID=40&md5=9344b7fd316ed78a779df99da7982ef5 | The integration of Wikipedia into higher education has remained sporadic, often limited to isolated assignments rather than systematic curriculum integration. This study addresses this gap by examining an innovative university-level Wikipedia course designed to enhance student learning through active knowledge producti... | Active learning; Collaborative learning; Higher education; Open Educational Resources (OERs); Social impact; Wikipedia | Article | Scopus | Export Date: 07 November 2025; Cited By: 3 | null | null | 1 | null |
21 | 21 | JOUR | Gunklach, J.; Müller, E.; Knaeble, M.; Maedche, A. | StoryPoint: GenAI-supported domain-specific data story authoring for enterprises | 2025 | International Journal of Human Computer Studies | 205 | 103655 | 10.1016/j.ijhcs.2025.103655 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018914939&doi=10.1016%2Fj.ijhcs.2025.103655&partnerID=40&md5=88c28e2edecdeca118ad3616f5229087 | In today's data-driven world, enterprises face the dual challenge of deriving value from vast datasets and effectively communicating insights. While data storytelling is integral for conveying insights, existing authoring tools often fail to fully leverage domain expertise or support the entire storytelling process. Th... | Authoring; Data storytelling; Domain expert; Enterprises; Visualization; Benchmarking; Data visualization; Authoring; Authoring tool; Data driven; Data storytelling; Domain expertise; Domain experts; Domain specific; Natural languages; Open-source; Source data; Visualization | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
22 | 22 | JOUR | Dantanarayana, J.L.; Kang, Y.; Sivasothynathan, K.; Clarke, C.; Li, B.; Kashmira, S.; Flautner, K.; Tang, L.; Mars, J. | MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming | 2025 | Proceedings of the ACM on Programming Languages | 9 | null | 10.1145/3763092 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018671615&doi=10.1145%2F3763092&partnerID=40&md5=def2f77ba91825f9be5fd6e491ca325d | Software development is shifting from traditional programming to AI-integrated applications that leverage generative AI and large language models (LLMs) during runtime. However, integrating LLMs remains complex, requiring developers to manually craft prompts and process outputs. Existing tools attempt to assist with pr... | generative AI; programming languages for AI; prompt engineering; Abstracting; Application programs; Artificial intelligence; Codes (symbols); High level languages; Open source software; Open systems; Semantics; Software design; Generative AI; Integrated applications; Integrated programming; Language model; Line of code... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | 1176 | 1204 | OOPSLA2 | null |
23 | 23 | CONF | Cho, D.; Lee, J.; Kim, H. | Mapping Historic Heritage in Jeonju and Wanju, South Korea: A GIS-Based Approach for Education and Public Engagement | 2025 | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | 48 | null | 10.5194/isprs-archives-XLVIII-M-9-2025-285-2025 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105020076685&doi=10.5194%2Fisprs-archives-XLVIII-M-9-2025-285-2025&partnerID=40&md5=883f26df74fe6c1655e3b92d2c8fd037 | In this study, spatial analysis was conducted using public GIS data provided by the Korean government, with the analysis targeting 135 designated cultural properties distributed across Jeonju and Wanju in South Korea. The cultural properties registered in this region were classified based on their era, function, and de... | Cultural Landscape; Digital Storytelling; GIS Mapping; Heritage Education; Jeonju; Korea; Geographic information systems; Historic preservation; Mapping; Open systems; Remote sensing; Spatial variables measurement; Cultural landscape; Cultural properties; Digital storytelling; GIS mapping; Heritage education; Jeonju; K... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 285 | 291 | M-9-2025 | null |
24 | 24 | JOUR | Shi, D.; Li, J.; Meyer, O.; Bauernhansl, T. | Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins | 2025 | Computers in Industry | 171 | 104330 | 10.1016/j.compind.2025.104330 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009051298&doi=10.1016%2Fj.compind.2025.104330&partnerID=40&md5=72eee7bc8baadf88a7dca027313faf6c | The escalating volume and complexity of digital data within the manufacturing sector highlight an urgent need for an efficient knowledge representation and inference solution. Traditional approaches, which often rely on ontologies, knowledge graphs, or digital twins (DTs) for knowledge representation, and rule-based al... | Asset administration shell; Digital twin; Entity matching; Large language model; Retrieval-augmented generation; Digital twin; Interoperability; Knowledge representation; Robotics; Asset administration shell; Entity matching; Generation systems; Knowledge-representation; Language model; Large language model; Manufactur... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
25 | 25 | JOUR | Laba, N.; Roman, N.; Parmelee, J.H. | Memory of the multitude and representation in AI-generated images of war | 2025 | Memory, Mind and Media | 4 | e14 | 10.1017/mem.2025.10011 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016725527&doi=10.1017%2Fmem.2025.10011&partnerID=40&md5=49bf56770906814551358d66c5fe85a1 | This study addresses how AI-generated images of war are changing the making of memory. Instead of asking how AI-generated images affect individual recall, we focus on how they communicate specific representations, recognising that such portrayals can cultivate particular assumptions and beliefs. Drawing on memory of th... | AI-generated images; memory of the multitude; visual generative AI; war representation | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
26 | 26 | JOUR | Alcaide-Marzal, J.; Diego-Mas, J.A. | An open-source application for ecodesign in conceptual 3D modelling with large language models support | 2025 | Journal of Cleaner Production | 525 | 146589 | 10.1016/j.jclepro.2025.146589 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015731977&doi=10.1016%2Fj.jclepro.2025.146589&partnerID=40&md5=44186dc23e50585416b19133607a7f97 | Ecodesign has been a preeminent factor for design research for many years, and a high number of tools to support the environmental impact assessment of products under design have been proposed. Despite this, there is still a lack of CAD-based tools focused on the conceptual stage of the design process. Currently, 3D po... | Computer aided design; Ecodesign; Environmental impact assessments; Modeling languages; Open systems; Product design; 3D models; 3d-modeling; Design research; Design-process; Early design stages; Impact assessments; Language model; Open source application; Parametric CAD; Product concepts; Conceptual design | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
27 | 27 | JOUR | Zhou, E.B.; Lee, D.; Gu, B. | Who expands the human creative frontier with generative AI: Hive minds or masterminds? | 2025 | Science Advances | 11 | eadu5800 | 10.1126/sciadv.adu580 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015039602&doi=10.1126%2Fsciadv.adu580&partnerID=40&md5=4f015fcbe3d60480939cb7d876d82f16 | Artists are rapidly integrating generative text-to-image models into their workflows, yet how this affects creative discovery remains unclear. Leveraging large-scale data from an online art platform, we compare artificial intelligence (AI)–assisted creators to matched nonadopters to assess novel idea contributions. Ini... | Data mining; Average rate; Creatives; Dilution effect; High volumes; Image modeling; Incremental exploration; Large scale data; Open-source; Work-flows; Artificial intelligence; art; artificial intelligence; creativity; human; Art; Artificial Intelligence; Creativity; Humans | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | null | null | 36 | null |
28 | 28 | JOUR | Hennekeuser, D.; Vaziri, D.D.; Golchinfar, D.; Schreiber, D.; Stevens, G. | Enlarged Education – Exploring the Use of Generative AI to Support Lecturing in Higher Education | 2025 | International Journal of Artificial Intelligence in Education | 35 | null | 10.1007/s40593-024-00424-y | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200659514&doi=10.1007%2Fs40593-024-00424-y&partnerID=40&md5=86e6ba21342aabc77283ea9073858dc2 | Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education—as supportive tools for lecturers—has been largely unexplored. Explori... | AI; Education; Human-centered Design; Large Language Models; Natural Language Processing; Semantic Search; Artificial intelligence; Computational linguistics; Natural language processing systems; Semantic Web; User centered design; High educations; Human-centred designs; Language model; Language processing; Large langu... | Article | Scopus | Export Date: 07 November 2025; Cited By: 7 | 1096 | 1128 | 3 | null |
29 | 29 | JOUR | Ashok, N.; García-Díaz, P.; Mosquera, M.E.G.; Sessini, V. | Machine Learning for the Optimization of the Bioplastics Design | 2025 | Macromol | 5 | 38 | 10.3390/macromol5030038 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017401453&doi=10.3390%2Fmacromol5030038&partnerID=40&md5=b14ba66e48df6974741c629b9d7ba9e2 | Biodegradable polyesters have gained attention due to their sustainability benefits, considering the escalating environmental challenges posed by synthetic polymers. Advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), are expected to significantly accelerate research in pol... | bioplastics; generative AI; machine learning; polyesters; polymer informatics; XAI | Review | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 3 | null |
30 | 30 | JOUR | Hong, S.; Ryee, H.; Jin, X.; Yang, D. | How Organizations Choose Open-Source Generative AI Under Normative Uncertainty: The Moderating Role of Exploitative and Exploratory Behaviors | 2025 | Journal of Theoretical and Applied Electronic Commerce Research | 20 | 250 | 10.3390/jtaer20030250 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017385114&doi=10.3390%2Fjtaer20030250&partnerID=40&md5=b2e5ec6b1f77459bf82ffeb6cc1c2ee2 | Open-source generative AI technologies offer transparent and customizable alternatives to proprietary AI systems, the concept of which closely aligns with the principles of open innovation. Organizations with strong open-source orientations may have greater absorptive capacity to adopt open-source generative AI technol... | absorptive capacity; exploitation; exploration; normative uncertainty; open innovation; open-source generative AI; organization theory; organizational learning | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 3 | null |
31 | 31 | JOUR | Kavargyris, D.C.; Georgiou, K.; Papaioannou, E.; Moysiadis, T.; Mittas, N.; Angelis, L. | Future Skills in the GenAI Era: A Labor Market Classification System Using Kolmogorov–Arnold Networks and Explainable AI | 2025 | Algorithms | 18 | 554 | 10.3390/a18090554 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017377039&doi=10.3390%2Fa18090554&partnerID=40&md5=bd4eddf26f8461a624bc6275a4b4e6ba | Generative Artificial Intelligence (GenAI) is widely recognized for its profound impact on labor market demand, supply, and skill dynamics. However, due to its transformative nature, GenAI increasingly overlaps with traditional AI roles, blurring boundaries and intensifying the need to reassess workforce competencies. ... | explainable AI; generative AI; Kolmogorov–Arnold Networks; online job advertisements (OJA); skills; Artificial intelligence; Employment; Engineering education; Open systems; Algorithmic solutions; Classification system; Explainable AI; Generative AI; Kolmogorov; Kolmogorov–arnold network; Labour market; Market classifi... | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | null | null | 9 | null |
32 | 32 | JOUR | Abed, A.E.; Nassreddine, G.; Al-Khatib, O.; Nassereddine, M.; Hellany, A. | Explainable and Optuna-Optimized Machine Learning for Battery Thermal Runaway Prediction Under Class Imbalance Conditions | 2025 | Thermo | 5 | 23 | 10.3390/THERMO5030023 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017253229&doi=10.3390%2FTHERMO5030023&partnerID=40&md5=58c58a198f2fa36de4bb6a1f248cac8a | Modern energy storage systems for both power and transportation are highly related to lithium-ion batteries (LIBs). However, their safety depends on a potentially hazardous failure mode known as thermal runaway (TR). Predicting and classifying TR causes can widely enhance the safety of power and transportation systems.... | deep learning; explainable AI; generative AI; machine learning; model optimization; predictive model; thermal runaway | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | null | null | 3 | null |
33 | 33 | JOUR | Valdez, H.P.D.; Abri, F.; Webb, J.; Austin, T.H. | Exploring the Use and Misuse of Large Language Models | 2025 | Information (Switzerland) | 16 | 758 | 10.3390/info16090758 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017003015&doi=10.3390%2Finfo16090758&partnerID=40&md5=489a483276c687437a5410eb6ac2a300 | Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenie... | AI misuse; cybersecurity; digital assistant; generative AI; large language models; voice cloning; Artificial intelligence; Clone cells; Cloning; Computational linguistics; Cybersecurity; Open systems; Speech communication; Speech recognition; AI misuse; Cyber security; Digital assistants; Generative AI; Language model;... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 9 | null |
34 | 34 | JOUR | Thippimanporn, R.; Khamna, W.; Wiratchawa, K.; Intharah, T. | Democratizing social media for health research: LLM-powered data analytics platform for NCDs | 2025 | PLOS ONE | 20 | e0332484 | 10.1371/journal.pone.0332484 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016369221&doi=10.1371%2Fjournal.pone.0332484&partnerID=40&md5=9c3838a8d02dbb670e394ee891899b69 | Despite over 41 million annual deaths from Non-Communicable Diseases (NCDs) globally, predominantly in low and middle-income countries, public access to relevant information from social media is hindered by restrictive licensing of existing social listening tools. This study introduces NCDs Listener, an open-source too... | Article; artificial intelligence; behavior; controlled study; data analytics; data extraction; data interpretation; data partitioning; data privacy; data processing; data science; democracy; generative artificial intelligence; human; human experiment; information science; knowledge; knowledge gap; large language model;... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 9 September | null |
35 | 35 | JOUR | Kinross, J.M.; Lam, K.; Yiu, A.; Adams, K.; Altaf, K.; Burns, E.; Duffourc, M.; Eardley, N.; Evans, C.; Giannarou, S.; Hancock, L.; Hu, V.; Javed, A.; Khare, S.; Mazomenos, E.; McGeever, L.; Moug, S.; Nastro, P.; Ourselin, S.; Ramamoorthy, S.; Roxburgh, C.; Simister, C.; Stoyanov, D.; Thomas, G.; Valdastri, P.; Vass, M... | The ACPGBI AI taskforce report: A mixed-methods roadmap for AI in colorectal surgery | 2025 | Colorectal Disease | 27 | e70232 | 10.1111/codi.70232 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016346127&doi=10.1111%2Fcodi.70232&partnerID=40&md5=fd6ba29ed4d3abf20a394a70f0166c32 | Aim: The ACPGBI has commissioned a taskforce to devise a strategy for integrating artificial intelligence (AI) into colorectal surgery. This report aims to (i) map current AI adoption amongst UK colorectal surgeons; (ii) evaluate knowledge, attitudes, perceptions and experience of AI technologies; and (iii) establish p... | artificial intelligence; foundational datasets; generative AI; implementation strategy; machine learning; surgical education; surgical innovation; Article; artificial intelligence; attitude; ChatGPT; clinical outcome; clinical practice; clinical trial (topic); clinician; colorectal disease; colorectal surgery; computer... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 9 | null |
36 | 36 | JOUR | Testolin, A.; Hou, K.; Zorzi, M. | Visual enumeration remains challenging for multimodal generative AI | 2025 | PLOS ONE | 20 | e0331566 | 10.1371/journal.pone.0331566 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015894130&doi=10.1371%2Fjournal.pone.0331566&partnerID=40&md5=4f61962e5b79f9916d2f7e4dc0eb5003 | Many animal species can approximately judge the number of objects in a visual scene at a single glance, and humans can further determine the exact cardinality of a set by deploying systematic counting procedures. In contrast, it has been observed that even state-of-the-art AI systems have very limited enumeration skill... | architecture; Article; autoencoder; cognition; diffusion; generative artificial intelligence; image analysis; large language model; mean absolute error; open source stable diffusion model; psychology; text-to-image model; visual enumeration; visual memory; visual stimulation; artificial intelligence; human; physiology;... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 9 September | null |
37 | 37 | JOUR | Wu, J.-W.; Tseng, M.-H. | Developing a Local Generative AI Teaching Assistant System: Utilizing Retrieval-Augmented Generation Technology to Enhance the Campus Learning Environment | 2025 | Electronics (Switzerland) | 14 | 3402 | 10.3390/electronics14173402 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015762797&doi=10.3390%2Felectronics14173402&partnerID=40&md5=7cd76364066379842afe56df41576986 | The rapid advancement of AI technologies and the emergence of large language models (LLMs) such as ChatGPT have facilitated the integration of intelligent question-answering systems into education. However, students often hesitate to ask questions, which negatively affects learning outcomes. To address this issue, this... | AI teaching assistant system; embedding model; generative AI; large language model; retrieval-augmented generation; vector database; Artificial intelligence; Computer aided instruction; Computer architecture; Curricula; Data privacy; E-learning; Education computing; Embeddings; Engineering education; Information retrie... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 17 | null |
38 | 38 | JOUR | Imerman, M.B.; Fabozzi, F.J. | Quantifying disruption in the age of AI: An AI-based approach to evaluating startup innovation and investment potential | 2025 | Finance Research Letters | 82 | 107491 | 10.1016/j.frl.2025.107491 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005316307&doi=10.1016%2Fj.frl.2025.107491&partnerID=40&md5=a7cdbd27c133050ebeedf01298b619ff | Clayton Christensen's disruptive innovation theory highlights how technologies transform industries, but quantifying disruption remains challenging. This paper introduces Disruptor Detective, an AI-driven tool that evaluates companies using seven criteria of disruptive innovation, integrating financial data and natural... | Disruption score; Disruptive innovation; Early-stage investment; Generative AI; Natural language processing; Venture-backed companies | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
39 | 39 | JOUR | Yoon, H.; Ebling, D.; Kiran, M.; Breen, J. | OFCnetLLM: Large Language Model for Network Monitoring and Alertness | 2025 | Performance Evaluation Review | 53 | null | 10.1145/3764944.3764957 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014742242&doi=10.1145%2F3764944.3764957&partnerID=40&md5=18721cba1f031527b8e73bae15287f1b | The rapid evolution of network infrastructure is bringing new challenges and opportunities for e!cient network management, optimization, and security. With very large monitoring databases becoming expensive to explore, the use of AI and Generative AI can help reduce costs of managing these datasets. This paper explores... | Deep Learning; Large Language Model Adaptation; Multi-agent architecture; Network Monitoring; Anomaly detection; Human resource management; Industrial management; Information systems; Information use; Intelligent agents; Large datasets; Multi agent systems; Network management; Network security; Open systems; Query lang... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | 63 | 68 | 2 | null |
40 | 40 | CHAP | Sivan, D.; Raj, V.; Kumar, K.S.; Rajan, R. | Democratized Generative AI - Development and Major Milestones | 2025 | null | null | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018660924&partnerID=40&md5=78be82f4b42c868d23790588ee230b09 | The evolution of generative AI (GenAI) has transformed creativity and problem-solving by enabling automated content generation. This chapter examines the democratization of GenAI, focusing on its evolution and milestones such as open-source platforms, pre-trained models, and low- code tools that increase accessibility ... | Automated decision-making; Deep learning; Deployment; Human collaboration; LLM; Neural networks; Scalability; Transfer learning; Arts computing; Automation; Decision making; Deep neural networks; Ethical aspects; Open source software; Open systems; Transfer learning; Automated decision making; Deep learning; Deployment... | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 15 | 34 | null | null |
41 | 41 | CHAP | Keerthana, M.; Sejana, R.; Krishnakumar, H.; Priya, D.K. | The Essential Concepts of Generative AI Democratization | 2025 | null | null | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018658596&partnerID=40&md5=25560adde31ced9c32a457be2f004572 | The Democratization of Gen AI: Changes in the method of developing, accessing, and applying cutting-edge artificial intelligence technologies by many users across different industries. The better understanding of these concepts is found in this chapter that is related to the essence underlying the democratization of Ge... | Artificial intelligence; Democratization; Generative adversarial networks; Generative pre-trained model; Problem-solving; Ethical aspects; Social aspects; Adversarial networks; Artificial intelligence technologies; Cloud services; Computational costs; Cutting edges; Democratization; Generative pre-trained model; Open s... | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 35 | 67 | null | null |
42 | 42 | CHAP | Livin, A.J.; Ashwini, A.; Balasubramaniam, S. | Breaking Barriers Through Generative AI: Charting a Global Empowered Future | 2025 | null | null | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018658333&partnerID=40&md5=6ed0e8aab2343d4ddd10d5723a69f225 | Generative AI is an emergence in the tech frontier that one day will revolutionize creative, industrial, and, indeed, societal realms. Thus, through the demonstrated capacity to create human-like content, solve problems, and improve decision-making, AI presents opportunities to flatten existing structures that have exc... | AI tools; Bias; Democratic governance; Education; Ethical balance; Generative AI; Privacy; Technological advancement; Artificial intelligence; Behavioral research; Commerce; Curricula; Engineering education; Ethical aspects; Health care; Marketing; AI tool; Bias; Breakings; Creatives; Democratic governance; Ethical bal... | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 303 | 325 | null | null |
43 | 43 | CHAP | Alphonsa, J.; Kumari, S.; Suresh Kumar, V.S.; Blessing, N.R.W. | Empowering Innovation: Open-Source Platforms and the Democratisation of Generative AI | 2025 | null | null | null | null | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105018652779&partnerID=40&md5=ca18a32debd6f2867ed5d32045644752 | In this chapter, open source is assumed to be the process through which open platforms can affect this transformative influence on the democratization of generative AI. The problem with accessible artificial intelligence: as these AI startups become more powerful across industries, the opportunities to access these adv... | AI technologies; Democratization; Hugging face; Open-source platforms; PyTorch; Social contribution; Stable diffusion; Artificial intelligence; Arts computing; Economic and social effects; Ecosystems; Open access; Open source software; Open systems; AI Technologies; Democratization; Hugging face; Modelling framework; O... | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 247 | 272 | null | null |
44 | 44 | CONF | Salvenmoser, M.; Affenzeller, M. | Open-Ended Evolution of Artistic Styles in Diffusion Models via Island-Based Genetic Algorithms | 2025 | null | null | null | 10.1145/3712255.3734290 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014587575&doi=10.1145%2F3712255.3734290&partnerID=40&md5=af32007ac4824837ad29a9536b8708f2 | This paper explores a novel approach to generative image creation by evolving prompt embeddings—the internal conditioning tensors used by diffusion models—rather than optimizing prompt text. Using SDXL-Turbo and a real-valued Genetic Algorithm within an Island Model setup, distinct artistic styles are assigned to separ... | Aesthetic Optimization; Artistic Styles; Computational Creativity; Diffusion Models; Evolutionary Algorithms; Generative AI; Genetic Algorithms; Image Generation; Island Model; Prompt Embedding; Simulated Artistic Influence; Artificial intelligence; Diffusion; Embeddings; Interactive computer graphics; Open source soft... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 2046 | 2054 | null | null |
45 | 45 | JOUR | Reusens, M.; Adams, A.; Baesens, B. | Large Language Models to make museum archive collections more accessible | 2025 | AI and Society | 40 | null | 10.1007/s00146-025-02227-8 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000041847&doi=10.1007%2Fs00146-025-02227-8&partnerID=40&md5=23be3bb7574e4347f36594b33b53775c | Keywords are essential to the searchability and therefore discoverability of museum and archival collections in the modern world. Without them, the collection management systems (CMS) and online collections these cultural organisations rely on to record, organise, and make their collections accessible, do not operate e... | Generative AI; Keyword augmentation; Keyword generation; Large Language Models; Museum and archive collections; Collections management; Generative artificial intelligence; Keyword augmentation; Keyword generation; Language model; Large language model; Management systems; Museum and archive collection; Online collection... | Article | Scopus | Export Date: 07 November 2025; Cited By: 2 | 4485 | 4497 | 6 | null |
46 | 46 | JOUR | Lyman, A.; Hepner, B.; Argyle, L.P.; Busby, E.C.; Gubler, J.R.; Wingate, D. | Balancing Large Language Model Alignment and Algorithmic Fidelity in Social Science Research | 2025 | Sociological Methods and Research | 54 | null | 10.1177/00491241251342008 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008227426&doi=10.1177%2F00491241251342008&partnerID=40&md5=9fd9a62b663a65371ce5547134e7d994 | Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of a... | alignment; artificial intelligence; computational social science; large language models; silicon sampling | Article | Scopus | Export Date: 07 November 2025; Cited By: 2 | 1110 | 1155 | 3 Special Issue: Integrating Generative AI into Social Science Research | null |
47 | 47 | JOUR | Vallamchetla, S.K.; Abdelkader, O.; Elnaggar, A.; Ramadan, D.; Islam Shourav, M.M.; Riaz, I.B.; Lin, M.P. | Do it faster with PICOS: Generative AI-Assisted systematic review screening | 2025 | Journal of Biomedical Informatics | 168 | 104860 | 10.1016/j.jbi.2025.104860 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007303400&doi=10.1016%2Fj.jbi.2025.104860&partnerID=40&md5=8543e5620606d6700b8ade6c9e48384e | Background: Systematic reviews (SRs) require substantial time and human resources, especially during the screening phase. Large Language Models (LLMs) have shown the potential to expedite screening. However, their use in generating structured PICOS (Population, Intervention/Exposure, Comparison, Outcome, Study design) ... | Automation; LLM; Meta-analysis; Screening; Systematic review; % reductions; Eligibility criterion; Language model; Large language model; Meta-analysis; Open-source; Performance metrices; Structured population; Study design; Systematic Review; Open systems; abstract report; Article; artificial intelligence; automation; ... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
48 | 48 | JOUR | Stuhler, O.; Ton, C.D.; Ollion, E. | From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models | 2025 | Sociological Methods and Research | 54 | null | 10.1177/00491241251336794 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004895420&doi=10.1177%2F00491241251336794&partnerID=40&md5=b077aa6c2d9f36e325109ed5465a14e0 | Generative AI (GenAI) is quickly becoming a valuable tool for sociological research. Already, sociologists employ GenAI for tasks like classifying text and simulating human agents. We point to another major use case: the extraction of structured information from unstructured text. Information Extraction (IE) is an esta... | generative AI; information extraction; large language models; prompting; text analysis | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | 794 | 848 | 3 Special Issue: Integrating Generative AI into Social Science Research | null |
49 | 49 | JOUR | Mizumoto, A.; Teng, M.F. | Large language models fall short in classifying learners’ open-ended responses | 2025 | Research Methods in Applied Linguistics | 4 | 100210 | 10.1016/j.rmal.2025.100210 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002832628&doi=10.1016%2Fj.rmal.2025.100210&partnerID=40&md5=d2462043dd2b42134f463d27d8f5199c | Generative Artificial Intelligence (GenAI), based on large language models (LLMs), excels in various language comprehension tasks and is increasingly utilized in applied linguistics research. This study examines the accuracy and methodological implications of using LLMs to classify open-ended responses from learners. W... | Coding and classification; Generative AI; Large language models (LLM); Qualitative analysis; Research methods | Article | Scopus | Export Date: 07 November 2025; Cited By: 2 | null | null | 2 | null |
50 | 50 | JOUR | Jääskeläinen, P.; Sharma, N.K.; Pallett, H.; Åsberg, C. | Intersectional analysis of visual generative AI: the case of stable diffusion | 2025 | AI and Society | 40 | null | 10.1007/s00146-025-02207-y | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001164175&doi=10.1007%2Fs00146-025-02207-y&partnerID=40&md5=fb1162cd0e8077dcce0912253ae8a7d9 | Since 2022, Visual Generative AI (vGenAI) tools have experienced rapid adoption and garnered widespread acclaim for their ability to produce high-quality images with convincing photorealistic representations. These technologies mirror society’s prevailing visual politics in a mediated form, and actively contribute to t... | Algorithmic reparation; Critical AI; Generative AI; Intersectionality; Restorative justice; Stable diffusion; Artificial intelligence; Intersections; Algorithmic reparation; Algorithmics; Critical AI; Generative AI; High quality images; Institutional contexts; Intersectionality; Power; Restorative justice; Stable diffu... | Article | Scopus | Export Date: 07 November 2025; Cited By: 3 | 4341 | 4362 | 6 | null |
51 | 51 | CHAP | Laureani, A. | Lean Six Sigma and Generative AI Large Language Models | 2025 | null | null | null | 10.4018/979-8-3373-0943-9.ch003 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105017839294&doi=10.4018%2F979-8-3373-0943-9.ch003&partnerID=40&md5=56f33966d9dbb389c104edda2c87481a | This chapter discusses the use of Generative Artificial Intelligence (AI) Large Language Models (LLMs) in the practice of Lean Six Sigma. Since the launch of LLMs applications (such as Open AI's ChatGPT, Microsoft's Copilot and Google's Gemini) and others available on an open- source basis, in the past couple of years,... | Agile manufacturing systems; Artificial intelligence; Lean production; Open systems; Process engineering; Work simplification; Google+; Intelligence models; Language model; Lean Six Sigma; Lean Six Sigma Tools; MicroSoft; Model application; Open-source; Six Sigma techniques; Tools and techniques; Six sigma | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 65 | 92 | null | null |
52 | 52 | CONF | Stone, S.; Crossett, J.; Luker, T.; Leligdon, L.; Cowen, W.; Darabos, C. | Dartmouth Chat - Deploying an Open-Source LLM Stack at Scale | 2025 | null | null | 43 | 10.1145/3708035.3736076 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105013084050&doi=10.1145%2F3708035.3736076&partnerID=40&md5=1d79e9b96d1ff5ac02d696d8b9829a60 | With the rise of Large Language Models (LLM), many organizations are facing a dilemma: How to provide access to these powerful tools but avoid the walled gardens of individual providers while enabling state-of-the-art performance, cutting-edge features, seamless convenience, and professional usability at scale without ... | Generative AI; large language models; open-source; Artificial intelligence; Computation theory; Decision making; Human engineering; Open source software; Open systems; Breakings; Cutting edges; Decision-making process; Edge features; Generative AI; Language model; Large language model; Open-source; Open-source technolo... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
53 | 53 | CONF | Rodenbeck, S.; Gough, E.; Sangeetha, A.M.K.; Ahlawat, M.; Ragavan, V.K.K.; Muthukumar, A.; Ahmad, A. | Providing On-Prem GenAI Inference Services to a Campus Community | 2025 | null | null | 40 | 10.1145/3708035.3736039 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105013083025&doi=10.1145%2F3708035.3736039&partnerID=40&md5=fb68fac62ae9b3e3d0d45bd1e2dec2d6 | The Rosen Center for Advanced Computing at Purdue University has recently released two Generative AI inference tools, AnvilGPT and Purdue GenAI Studio, to the research and campus communities. These services support over 1000 users who use 10+ open-source GenAI models to aid their work. Building on HPC’s long history of... | Generative AI Inference Services; Artificial intelligence; Human engineering; Investments; Open systems; Computing center; Cost-effective solutions; Generative AI inference service; Inference tools; Open source frameworks; Open source tools; Open-source; Purdue University; Research computing; Service support; Cost effe... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | null | null |
54 | 54 | CHAP | Padmaja, V.; Bhanumathi, P.; Bishal, B. | Equity and inclusion in GenAI innovation: Exploring the challenges and strategies for ensuring equitable access to and benefits from GenAI-driven innovation | 2025 | null | null | null | 10.1108/978-1-83549-105-820251010 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014307514&doi=10.1108%2F978-1-83549-105-820251010&partnerID=40&md5=0643079b31c5511867e516d5ea6c9edd | This chapter examines the critical need for equity and inclusion in the development and deployment of Generative Artificial Intelligence (GenAI) technologies. As GenAI rapidly transforms various sectors, from health care to education, its benefits are not evenly distributed, risking the exacerbation of existing social ... | AI bias; Digital divide; Discrimination; Equity; Generative AI; Inclusion; Artificial intelligence; Open systems; AI bias; AI systems; Artificial intelligence technologies; Digital divide; Discrimination; Equitable access; Equity; Generative AI; Social inequalities; Theoretical framework; Inclusions | Book chapter | Scopus | Export Date: 07 November 2025; Cited By: 0 | 181 | 198 | null | null |
55 | 55 | CONF | Bhandari, S.; Anastasopoulos, I.; Pardos, Z.A. | PromptHive: Demonstrating Collaborative, Human-Centered OER Creation with LLMs | 2025 | null | null | null | 10.1145/3698205.3733918 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105013073330&doi=10.1145%2F3698205.3733918&partnerID=40&md5=a4a1bb0d1110f9a22453849c98e95450 | PromptHive is an open-source platform that enables subject matter experts to guide LLM outputs, rapidly experiment, and collaboratively generate high-quality educational content-enhancing efficiency without replacing human expertise. This makes PromptHive a powerful tool for advancing scalable, high-quality content cre... | content creation; educational technology; generative ai; intelligent tutoring systems; large language models; open-source tools; prompt engineering; Artificial intelligence; Computer aided instruction; Education computing; Engineering education; Open systems; Students; Content creation; Generative ai; Intelligent tutor... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 392 | 394 | null | null |
56 | 56 | JOUR | Rider, N.L.; Li, Y.; Chin, A.T.; DiGiacomo, D.V.; Dutmer, C.; Farmer, J.R.; Roberts, K.; Savova, G.; Ong, M.-S. | Evaluating large language model performance to support the diagnosis and management of patients with primary immune disorders | 2025 | Journal of Allergy and Clinical Immunology | 156 | null | 10.1016/j.jaci.2025.02.004 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000164861&doi=10.1016%2Fj.jaci.2025.02.004&partnerID=40&md5=dd3cf775ff8c14c2cd15323b24fcc440 | Background: Generative artificial intelligence (GAI) is transforming health care in a variety of ways; however, the present utility of GAI for supporting clinicians who treat rare disease such as primary immune disorders (PIs) is not well studied. We evaluated the ability of 6 state-of-the-art large language models (LL... | generative AI; health care AI; inborn errors of immunity; large language models; medical chatbot; Primary immune disorders; activated phosphatidylinositol 3 kinase delta syndrome; anonymised data; Article; ataxia telangiectasia; autoimmune disease; autoimmune polyendocrinopathy candidiasis ectodermal dystrophy; chronic... | Article | Scopus | Export Date: 07 November 2025; Cited By: 4 | 81 | 87 | 1 | null |
57 | 57 | JOUR | Berkhout, W.E.M.; van Wijngaarden, J.J.; Workum, J.D.; van de Sande, D.; Hilling, D.E.; Jung, C.; Meyfroidt, G.; Gommers, D.; Buijsman, S.N.R.; van Genderen, M.E. | Operationalization of Artificial Intelligence Applications in the Intensive Care Unit: A Systematic Review | 2025 | JAMA Network Open | 8 | null | 10.1001/jamanetworkopen.2025.22866 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105012229767&doi=10.1001%2Fjamanetworkopen.2025.22866&partnerID=40&md5=433acdc94ed2674508527a248ff120e2 | Importance: Artificial intelligence (AI) presents transformative opportunities to address the increasing challenges faced by health care systems globally. Particularly, in data-rich environments, such as intensive care units (ICUs), AI could assist in enhancing clinical decision-making, streamline workflows, and improv... | artificial intelligence; human; intensive care unit; organization and management; Artificial Intelligence; Humans; Intensive Care Units | Article | Scopus | Export Date: 07 November 2025; Cited By: 2 | e2522866 | null | 7 | null |
58 | 58 | JOUR | Drinkwater Gregg, K.; Ryan, O.; Katz, A.; Huerta, M.; Sajadi, S. | Expanding possibilities for generative AI in qualitative analysis: Fostering student feedback literacy through the application of a feedback quality rubric | 2025 | Journal of Engineering Education | 114 | e70024 | 10.1002/jee.70024 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011356184&doi=10.1002%2Fjee.70024&partnerID=40&md5=c55de125efa1bb6b2fd0a48425024fca | Background: Courses in engineering often use peer evaluation to monitor teamwork behaviors and team dynamics. The qualitative peer comments written for peer evaluations hold potential as a valuable source of formative feedback for students, yet little is known about their content and quality. Purpose: This study uses a... | feedback; generative AI; rubric; Artificial intelligence; Curricula; Engineering education; Quality control; Reliability analysis; Reliability theory; Students; Behavior dynamics; Generative AI; Interrater reliability; Language model; Peer evaluations; Peer feedback; Qualitative analysis; Rubric; Student feedback; Team... | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | null | null | 3 | null |
59 | 59 | JOUR | Cardarelli, L. | PyPotteryInk: One-step diffusion model for sketch to publication-ready archaeological drawings | 2025 | Journal of Cultural Heritage | 74 | null | 10.1016/j.culher.2025.06.016 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010091409&doi=10.1016%2Fj.culher.2025.06.016&partnerID=40&md5=1f46c43de076426f1dddff8ff43180d2 | Archaeological pottery documentation traditionally requires a time-consuming manual process of converting pencil sketches into publication-ready inked drawings. This paper presents PyPotteryInk, an open-source automated pipeline that transforms archaeological pottery sketches into standardised publication-ready drawing... | Archaeological drawing; Diffusion models; Generative AI; Image-to-image translation; Pottery | Article | Scopus | Export Date: 07 November 2025; Cited By: 0 | 300 | 310 | null | null |
60 | 60 | JOUR | Murray, B.P.; Thota, D.S.; Baker, C.; Stierwalt, J.B. | Key Insights for the Ethical and Appropriate Use of Artificial Intelligence by Medical Learners | 2025 | Military Medicine | 190 | null | 10.1093/milmed/usae536 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009652759&doi=10.1093%2Fmilmed%2Fusae536&partnerID=40&md5=0a9ffb09f0c315d9061dce7986922a5b | Introduction The rapid advancement and adoption of large language models (LLMs) in various academic domains necessitate an examination of their role in scholarly works by medical learners. This paper seeks to discern the implications of LLM use by medical learners when preparing works for publication. While LLMs posses... | army; article; artificial intelligence; best practice; critical thinking; evidence based practice; generative artificial intelligence; grey literature; human; large language model; medical education; mentor; plagiarism; resident; surgeon; United States; ethics; learning; medical student; procedures; psychology; Artific... | Article | Scopus | Export Date: 07 November 2025; Cited By: 2 | e1381 | e1385 | 7-8 | null |
61 | 61 | JOUR | Chen, X.; Wu, Z.; Shi, X.; Cho, H.; Mukherjee, B. | Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software | 2025 | Journal of the American Medical Informatics Association | 32 | null | 10.1093/jamia/ocaf082 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009256608&doi=10.1093%2Fjamia%2Focaf082&partnerID=40&md5=755692014efb3270496a39d90b0890f4 | Objectives: To conduct a scoping review (ScR) of existing approaches for synthetic Electronic Health Records (EHR) data generation, to benchmark major methods, and to provide an open-source software and offer recommendations for practitioners. Materials and Methods: We search three academic databases for our scoping re... | benchmarking; confidentiality; generative AI; scoping review; synthetic EHR; benchmarking; confidentiality; decision tree; electronic health record; generative adversarial network; generative artificial intelligence; human; intensive care; medical informatics; medical information; medical information system; open sourc... | Review | Scopus | Export Date: 07 November 2025; Cited By: 0 | 1227 | 1240 | 7 | null |
62 | 62 | CONF | Aveni, T.J.; Smith, J.; Fox, A.; Hartmann, B. | Supporting Students in Prototyping AI-backed Software with Hosted Prompt Template APIs | 2025 | Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE | 1 | null | 10.1145/3724363.3729109 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010605995&doi=10.1145%2F3724363.3729109&partnerID=40&md5=63a73b1543c86823558c41f22a1d5867 | Large AI models, such as LLMs and text-to-image models, can be used to power intelligent components of software applications. In our User Interface Design and Development course, we encourage students to practice integrating AI-powered capabilities into their software prototypes. To facilitate this practice, we develop... | course technology; generative ai; large language models; prompt engineering; prototyping; text-to-image models; Application programming interfaces (API); Application programs; Artificial intelligence; Curricula; Education computing; Engineering education; Open source software; Open systems; Software design; Students; U... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 65 | 71 | null | null |
63 | 63 | CONF | Gehrmann, S.; Huang, C.; Teng, X.; Yurovski, S.; Bhorkar, A.; Thomas, N.; Doucette, J.; Rosenberg, D.; Dredze, M.; Rabinowitz, D. | Understanding and Mitigating Risks of Generative AI in Financial Services | 2025 | null | null | null | 10.1145/3715275.3732168 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010817985&doi=10.1145%2F3715275.3732168&partnerID=40&md5=d7cdb51399954efe40d5c056994c2c2f | To responsibly develop Generative AI (GenAI) products, it is critical to define the scope of acceptable inputs and outputs. What constitutes a "safe"response is an actively debated question. Academic work puts an outsized focus on evaluating models by themselves for general purpose aspects such as toxicity, bias, and f... | AI Safety; Financial Services; Generative AI; Information systems; Laws and legislation; Open systems; Safety engineering; Academic work; AI safety; Corporate governance; Evaluating models; Financial service; Generative AI; Input and outputs; Mitigating risk; Sociotechnical systems; Specialized systems; Finance | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 1 | 2570 | 2586 | null | null |
64 | 64 | JOUR | He, K.; Mao, R.; Lin, Q.; Ruan, Y.; Lan, X.; Feng, M.; Cambria, E. | A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics | 2025 | Information Fusion | 118 | 102963 | 10.1016/j.inffus.2025.102963 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216023945&doi=10.1016%2Fj.inffus.2025.102963&partnerID=40&md5=168ecce8c579f4b5d9279402fc5d130d | The utilization of large language models (LLMs) for Healthcare has generated both excitement and concern due to their ability to effectively respond to free-text queries with certain professional knowledge. This survey outlines the capabilities of the currently developed Healthcare LLMs and explicates their development... | Healthcare application; Large language model; Medicine; Pretrained language model; Ethical technology; Data application; Data technologies; Free texts; Health care application; Language model; Large language model; Pretrained language model; Technologies and applications; Text query; Structured Query Language | Article | Scopus | Export Date: 07 November 2025; Cited By: 52 | null | null | null | null |
65 | 65 | JOUR | Nofal, A.B.; Ali, H.; Hadi, M.; Ahmad, A.; Qayyum, A.; Johri, A.; Al-Fuqaha, A.; Qadir, J. | AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI | 2025 | Computers and Education: Artificial Intelligence | 8 | 100347 | 10.1016/j.caeai.2024.100347 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213576587&doi=10.1016%2Fj.caeai.2024.100347&partnerID=40&md5=2863c83e14494c7e1bd05f73a2ae60ec | Interviewing skills play a pivotal role in the job application and search, professional development to prepare for interviewing is a neglected area of research. Professional training methods are available but are often prohibitively expensive, limiting opportunities primarily to privileged individuals. To bridge this a... | Education; Generative AI; Interview simulation; Large language models; Metaverse; Training; Benchmarking; Generative adversarial networks; Personnel training; Education module; Generative AI; Interview simulation; Job interviews; Language model; Large language model; Metaverses; Simulation platform; Training and educat... | Article | Scopus | Export Date: 07 November 2025; Cited By: 5 | null | null | null | null |
66 | 66 | JOUR | Vohra, M.A.; Singh, T.P.; Illayaraja, K.; Shah, S.K. | Generative AI-Driven Spatial Data Extraction in OpenStreetMap using Natural Language | 2025 | International Journal of Geoinformatics | 21 | null | 10.52939/ijg.v21i6.4233 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011199547&doi=10.52939%2Fijg.v21i6.4233&partnerID=40&md5=a0913218f009e7ad8a4847ddc9a0d606 | With the rising availability and support of geospatial data and tools, geospatial data analysis is increasing rapidly. However, geospatial data is challenging to extract and understand by individuals with limited or no prior knowledge of handling such data. This study presents a novel platform that integrates generativ... | Artificial Intelligence; Generative AI; Geospatial Data; GIS; GPT; Natural Language Processing; OpenStreetMap; Prompt Engineering; artificial intelligence; experimental study; GIS; Internet; real time; spatial data; visualization | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | 47 | 61 | 6 | null |
67 | 67 | JOUR | Devunuri, S.; Lehe, L. | TransitGPT: a generative AI-based framework for interacting with GTFS data using large language models | 2025 | Public Transport | 17 | null | 10.1007/s12469-025-00395-w | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105008297769&doi=10.1007%2Fs12469-025-00395-w&partnerID=40&md5=62f06f90790ce83832e0385f2dc67559 | This paper introduces a framework that leverages Large Language Models (LLMs) to answer natural language queries about General Transit Feed Specification (GTFS) data. The framework is implemented in a chatbot called TransitGPT with open-source code. TransitGPT works by guiding LLMs to generate Python code that extracts... | Generative AI; Information retrieval; Large language model; Prompt engineering; Public transit; Artificial intelligence; Codes (symbols); Data visualization; Knowledge management; Natural language processing systems; Open source software; Open systems; Query languages; Query processing; Chatbots; Data retrieval; Genera... | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | 319 | 345 | 2 | null |
68 | 68 | JOUR | Böhme, M.; Bodden, E.; Bultan, T.; Cadar, C.; Liu, Y.; Scanniello, G. | Software Security Analysis in 2030 and Beyond: A Research Roadmap | 2025 | ACM Transactions on Software Engineering and Methodology | 34 | 144 | 10.1145/3708533 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007501070&doi=10.1145%2F3708533&partnerID=40&md5=b6628d5f42a04ff3ceaffe33e99f8c72 | As our lives, our businesses, and indeed our world economy become increasingly reliant on the secure operation of many interconnected software systems, the software engineering research community is faced with unprecedented research challenges, but also with exciting new opportunities. In this roadmap article, we outli... | perspective article; SE2030; vision statement; Behavioral research; Computer aided software engineering; Computer operating systems; Industrial research; Open source software; Software reliability; Perspective article; Research roadmap; Roadmap; Se2030; Security analysis; Software engineering research; Software securit... | Article | Scopus | Export Date: 07 November 2025; Cited By: 3 | null | null | 5 | null |
69 | 69 | JOUR | Kessel, M.; Atkinson, C. | Morescient GAI for Software Engineering | 2025 | ACM Transactions on Software Engineering and Methodology | 34 | 123 | 10.1145/3709354 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007500843&doi=10.1145%2F3709354&partnerID=40&md5=baf787eb3f97cbcd5a7cd93125b903fb | The ability of Generative AI (GAI) technology to automatically check, synthesize, and modify software engineering artifacts promises to revolutionize all aspects of software engineering. Using GAI for software engineering tasks is consequently one of the most rapidly expanding fields of software engineering research, w... | analysis; behavior-aware; dataset; dynamic; generative AI; morescience; observation; roadmap; semantics; vision; Application programs; Behavioral research; Computer operating systems; Computer program listings; Computer software maintenance; Engineering research; Industrial research; Open source software; Search engine... | Article | Scopus | Export Date: 07 November 2025; Cited By: 1 | null | null | 5 | null |
70 | 70 | CONF | Behdin, K.; Dai, Y.; Dexter, G.; Gupta, A.; Mazumder, R.; Saha, A.; Song, Q.; Tang, S.; Zhu, S.; Hsu, P.-L. | Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems | 2025 | null | null | null | 10.1145/3701716.3715868 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009232216&doi=10.1145%2F3701716.3715868&partnerID=40&md5=512cadaae6d3d398298a7160efba2ac2 | Large language models (LLMs) have taken the world by storm, revolutionizing the use of AI in products. While scaling laws demonstrate that larger models yield better results, making them work in production is hard, often due to latency demands on inference. In this proposed tutorial, we will share optimizations - both ... | compression; distillation; large language models; pruning; quantization; Artificial intelligence; Information systems; Knowledge management; Open systems; Program processors; Compression; Language model; Large language model; Large models; LinkedIn; Model yields; Optimisations; Pruning; Quantisation; Scalings; Recommen... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 0 | 1 | 4 | null | null |
71 | 71 | CONF | Muneer, M.S.; Woo, S.S. | Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale Dataset | 2025 | null | null | null | 10.1145/3701716.3715526 | https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009214891&doi=10.1145%2F3701716.3715526&partnerID=40&md5=8cf128dc51642fd3e88abe4732403318 | In the past years, we have witnessed the remarkable success of Text-to-Image (T2I) models and their widespread use on the web. Extensive research in making T2I models produce hyper-realistic images has led to new concerns, such as generating Not-Safe-For-Work (NSFW) web content and polluting the web society. To help pr... | Content Moderation; Generative AI; Multimodal NSFW Defense; Artificial intelligence; Human engineering; Open systems; Websites; Content moderation; Generative AI; Multi-modal; Multimodal not-safe-for-work defense; Realistic images; Security checks; Synthetic image generation; User feature; Web content; Web environment;... | Conference paper | Scopus | Export Date: 07 November 2025; Cited By: 1 | 1209 | 1213 | null | null |
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