language-model

Documents about language-model

• Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.#465130NCBI PubMed Central
• Performance of generative artificial intelligence in oral and maxillofacial radiology based on the board-certification examination of Japan#481119OKAYAMA UNIVERSITY SCIENTIFIC ACHIEVEMENT REPOSITORY
• Signing large language model prompts to prevent unintended response — Microsoft Technology Licensing, Llc. (US12399991B2)#607529Google Patents
• Continuously Adaptive Curricula: Using Learner Models to Restructure Instruction in Real Time#660503OSF
• Classification of decomposed neural data in memory networks and LLM-based stimuli processing#123263Europe PMC
• Artificial intelligence in healthcare text processing: a review applied to named entity recognition#239156HAL (France)
• Systems and methods of large language model driven orchestration of task- … — Broadridge Financial Solutions, Inc. (US12307349B2)#607519Google Patents
• Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving#619057arXiv (OAI Expanded)
• Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving#620736arXiv (All)
• Improved model for detecting fake profiles in online social network: a case study of twitter#649213University of Ibadan Institutional Repository
• Estimating Dimensional Structure in Generative Psychometrics: Comparing PCA and Network Methods Using Large Language Model Item Embeddings#655096OSF
• CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis#661318arXiv (OAI Expanded)
• CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis#662368arXiv (All)
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case#786172OpenAlex
• Table 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422552Figshare
• Table 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422553Figshare
• Table 5_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422555Figshare
• Table 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422556Figshare
• Table 8_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422557Figshare
• Table 7_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422558Figshare
• Table 6_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422559Figshare
• Table 9_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422561Figshare
• Table 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422565Figshare
• Table 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422568Figshare
• The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text#146602OSF
• From Superposition to Decision: Semantic Wave Functions for Uncertainty-Aware NLP#176287Zenodo (CERN)
• Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia#285482OpenAlex
• Design and rationale of the my heart counts cardiovascular health study: a large-scale, fully digital biobank, and randomized trial of large language model-driven coaching of physical activity.#338383NCBI PubMed Central
• The medium is not the message: Message features in Teacher, Peer, and AI feedback help explain the divergence of perceptions and performance#345592OSF
• Opportunities and Challenges of AI Chatbots in English Language Learning: A Cross-University Study of Learner Perceptions#402343HAL (France)
• A computational model of infant lexical stress preferences: Is the trochaic bias in English an emergent property of chunk learning?#469745OSF
• Does a language model "understand" high school math? A survey of deep learning based word problem solvers.#489649DBLP
• Multi-stage processing for large language model to answer math questions more … — Microsoft Technology Licensing, Llc (US12547840B2)#607528Google Patents
• CONSTRUCTION AND OPTIMIZATION OF AGENTIC RETRIEVAL AUGMENTED GENERATION PIPELINE AND APPLICATION FOR KNOWLEDGE AND OPERATION OF SATELLITE SYSTEMS#674716Calhoun
• The PROOF Model for AI-Supported Project-Based EFL Learning: Evidence-Oriented Teaching and Assessment#313336OSF
• Supplementary file 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422560Figshare
• Supplementary file 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422562Figshare
• Supplementary file 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422563Figshare
• Supplementary file 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422564Figshare
• Supplementary file 7_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422566Figshare
• Understanding the Systemic Influences on Hallucination Drift in Large Language Models by Using Marvin Minsky’s Society of Mind: An Experimental Study#629636ScholarWorks@GSU
• Design and methodology of the AI-empowered Clinical Evidence for Integrated Chinese-Western Medicine (ACE-iMed) platform#304187Europe PMC
• Model-Driven Toolset for Embedded Reconfigurable Cores: Flexible Prototyping and Software-like Debugging#311839HAL Science
• Introducing GenAI to assessment in Higher Education risks the social contract between staff and students: a qualitative study#385672OSF
• Risk Management of Large Language Model-Based Exercise and Health Guidance: A China-Anchored, Comparatively Informed Six-Dimensional Trigger Matrix and Lifecycle Governance Framework for the Wellness-to-SaMD Continuum.#409360NCBI PubMed Central
• Agent in Action: An LLM Based Agentic Approach for Breaking Change Detection in Python Open Source Packages#442199DigitalCommons@Kennesaw State University
• Large language model (llm) for enterprise applications developed by codeless … — Nb Ventures, Inc. Dba Gep (US20250272652A1)#607520Google Patents
• A formal model for ledger management systems based on contracts and temporal logic#617223arXiv (OAI Expanded)
• A formal model for ledger management systems based on contracts and temporal logic#617723arXiv (All)
• MCP-enabled agentic AI workflow for building energy modelling: framework and use cases#620109eScholarship