Suchergebnisse - "large language models (LLMs)"

Decoding school marketisation: exploring computational analytics in large-scale policy data

Autoren: Karlsson, Martin Borgström, Eric Lundahl, Christian, Professor

Quelle: Decoding the marketization of education in Sweden through computational analyses Learning, Media & Technology. :1-17

Schlagwörter: School marketisation, omputational text analysis, parliamentary debate, Swedish education policy, large language models (LlMs)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-121223
https://doi.org/10.1080/17439884.2025.2505555

Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference

Autoren: García Recasens, Pol Agulló López, Ferran Zhu, Yue et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Large language models (LLMs), Machine Learning, FOS: Computer and information sciences, GPU performance, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, AI systems, Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Inference optimization, Machine Learning (cs.LG)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2503.08311

Generative AI-assisted clinical interviewing of mental health

Autoren: Sikstrom, Sverker Boehme, Rebecca Astrid Mirstrom, Mariam et al.

Quelle: Scientific Reports. 15(1)

Schlagwörter: AI-powered clinical interviews, Mental health assessment, Large language models (LLMs), Generative AI, Major depressive disorder (MDD), Generalized anxiety disorder (GAD), Obsessive-compulsive disorder (OCD), Post-traumatic stress disorder (PTSD), Attention-deficit/hyperactivity disorder (ADD/ADHD), Autism spectrum disorder (ASD), Eating disorders, Substance use disorder (SUD), Bipolar disorder (BD)

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-219509
https://doi.org/10.1038/s41598-025-13429-x

Journaling with large language models: a novel UX paradigm for AI-driven personal health management

Autoren: Moell, Birger Sand Aronsson, Fredrik

Quelle: Frontiers in Artificial Intelligence. 8

Schlagwörter: AI-driven journaling, data privacy, explainable AI, health literacy, large language models (LLMs), medical AI, natural language processing (NLP), patient engagement

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369039
https://doi.org/10.3389/frai.2025.1567580

A systematic review of ethical considerations of large language models in healthcare and medicine

Autoren: Fareed, Muhammad Fatima, Madeeha Uddin, Jamal et al.

Quelle: Frontiers in Digital Health. 7

Schlagwörter: artificial intelligence (AI), deep learning, large language models (LLMs), ChatGPT, bioethical issues, bias, fairness, privacy, Automatic Control, Reglerteknik

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114660
https://doi.org/10.3389/fdgth.2025.1653631

Mind the gap: from plausible to valid self-explanations in large language models

Autoren: Randl, Korbinian Robert Pavlopoulos, John Henriksson, Aron et al.

Quelle: Machine Learning. 114(10)

Schlagwörter: Attention-based explainability, Counterfactuals, Gradient-based explainability, Interpretability, Large language models (LLMs), Self-explanations

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-246656
https://doi.org/10.1007/s10994-025-06838-6

AI Versus Human Feedback in Mixed Reality Simulations: Comparing LLM and Expert Mentoring in Preservice Teacher Education on Controversial Issues

Autoren: Nygren, Thomas Samuelsson, Marcus Hansson, Per-Olof et al.

Quelle: International Journal of Artificial Intelligence in Education.

Schlagwörter: Generative AI, Teacher training simulations, AI-generated feedback, Mixed reality simulation (MRS), Pedagogical content knowledge (PCK), Controversial issues in social studies education, Preservice teachers, Large Language Models (LLMs), Curriculum Studies, Didaktik

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-559210
https://doi.org/10.1007/s40593-025-00484-8

Thanking the World: Exploring gender-based differences in acknowledgment patterns and support systems in theses

Autoren: Lamba, Manika Erz, Hendrik

Quelle: Data and Information Management. 9(3)

Schlagwörter: Natural language Processing (NLP), Electronic theses and dissertations (ETDs), Large language models (LLMs), Optical character recognition (OCR), Text as data

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-210936
https://doi.org/10.1016/j.dim.2024.100092

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice

Autoren: Khojah, Ranim Mohamad, Mazen Leitner, Philipp et al.

Quelle: Proc. ACM Softw. Eng.. 1(FSE):1819-1841

Schlagwörter: Chatbots, Large Language Models (LLMs), Software Development Bots

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-76000
https://doi.org/10.1145/3660788

Analysing the impact of ChatGPT in research

Autoren: Picazo-Sanchez, Pablo Ortiz-Martin, Lara

Quelle: Applied intelligence (Boston). 54(5):4172-4188

Schlagwörter: ChatGPT, Large language models (LLMs), Natural language processing (NLP), Research

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-53179
https://doi.org/10.1007/s10489-024-05298-0

ResDecode: Accelerating Large Language Models Inference via Residual Decoding Heads

Autoren: Ziqian Zeng Jiahong Yu Qianshi Pang et al.

Quelle: Big Data Mining and Analytics, Vol 8, Iss 4, Pp 779-793 (2025)

Schlagwörter: speculative decoding, efficient inference, Electronic computers. Computer science, QA75.5-76.95, large language models (llms)

Zugangs-URL: https://doaj.org/article/9b7c6bd2e5064f4cbc0f542e5681b461

Pre-interview hypothesis generation: large language models (LLMs) show promise for child abuse investigations

Autoren: Järvilehto, Liisa Sun, Yongjie Korkman, Julia et al.

Weitere Verfasser: Järvilehto, Liisa Sun, Yongjie Korkman, Julia et al.

Quelle: Psychology, Crime & Law. :1-32

Schlagwörter: confirmation bias, investigative interviewing, Psychology, hypothesis generation, Child abuse, large language models (LLMs)

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10138/599743

Artificial Intelligence and the Illusion of Understanding: A Systematic Review of Theory of Mind and Large Language Models

Autoren: Marchetti, Antonella Manzi, Federico Riva, Giuseppe et al.

Quelle: Cyberpsychology, Behavior, and Social Networking. 28:505-514

Schlagwörter: social reasoning, Large Language Models (LLMs), Artificial Intelligence (AI), Theory of Mind (ToM)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40333375
https://hdl.handle.net/10807/313666
https://doi.org/10.1089/cyber.2024.0536

Challenges and Opportunities for Generative AI in Software Engineering: A Managerial View

Autoren: Sergio Rico Lena-Maria Öberg

Quelle: Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. :1338-1344

Schlagwörter: Empirical Study, Large Language Model, Code Development, Programvaruteknik, Software Quality Assurance, Large Language Models (llms), Software Engineering, Language Model, Software Quality, Computer Software Selection And Evaluation, Software Design, Empirical Studies, Generative Ai, Adoption, Generative Ai (genai), Engineering Education, Software Engineering Practices, Quality Assurance, Human Resource Management, Team Coordination, Information Systems

Dateibeschreibung: application/pdf

Zugangs-URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55438

On LLM Embeddings for Vulnerability Management

Autoren: Talibzade R. Bergadano F. Drago I.

Quelle: 2025 9th Network Traffic Measurement and Analysis Conference (TMA). :1-4

Schlagwörter: Common Vulnerabilities and Exposures (CVE), Common Weak- ness Enumeration (CWE), Large Language Models (LLMs), TF-IDF, Vulnerability Management, Software Security

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2318/2094090
https://doi.org/10.23919/TMA66427.2025.11097007

AI as Synthetic Users in Human-Centred Design: A Systematic Review

Autoren: Pehar, Franjo

Quelle: 2025 MIPRO 48th ICT and Electronics Convention. :1500-1509

Schlagwörter: human-centred design (HCD), design evaluation, agent-based modelling, user simulation, synthetic users, large language models (LLMs)

Usage of Chatbot Techniques for Automation of Knowledge Tests

Autoren: Delija, Damir Žagar, Marinko Sirovatka, Goran et al.

Quelle: 2025 MIPRO 48th ICT and Electronics Convention. :345-350

Schlagwörter: retrieval-augmented generation (RAG), chatbots, artificial intelligence (AI) in education, large language models (LLMs)

Enabling Conversational Intelligence in Service Robots Through Multimodal Fusion and Resource-Aware Generative Models

Autoren: T. Tharmilan A. Henoshan K. Garthigan et al.

Quelle: 2025 IEEE World AI IoT Congress (AIIoT). :1087-1092

Schlagwörter: Service Robots, Generative AI, Multimodal Interaction, Large Language Models (LLMs), Human-Robot Interaction (HRI), Retrieval-Augmented Generation (RAG), Fusion, Context-Aware System

Zugangs-URL: https://elib.dlr.de/215546/
https://doi.org/10.1109/aiiot65859.2025.11105269

An Approach to Training and Fine-tuning Large Language Models for Low-Resource Languages

Autoren: Sandaruwan, Udith Fonseka, Nimesh Salwathura, Pamith et al.

Quelle: 2025 IEEE World AI IoT Congress (AIIoT). :1061-1066

Schlagwörter: Sinhala Language Processing, Large Language Models (LLMs), Continued Pretraining, Low-Resource Languages

Natural Language Communication with Sensor Data Through a LLM-Integrated Protocol: A Case Study

Autoren: Jia, Fanglai Fonsati, Arianna Gudmundsson, Kjartan

Quelle: Advances in Information Technology in Civil and Building Engineering. :64-75

Schlagwörter: Digital Twin (DT), Artificial Intelligence (AI), Natural Processing Language (NPL), Large Language Models (LLMs), Installations- och energisystem, Building Service and Energy Systems

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-361909
https://kth.diva-portal.org/smash/get/diva2:1949461/FULLTEXT01.pdf