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generative ai

2,282 papers

#generative ai Open access Oct 2026

The role of GenAI in learning Chinese as a foreign language: perspectives from university students in Ireland

Abstract Generative AI (GenAI) is reshaping language education and continues to shape how learners access, produce and evaluate knowledge. Its application in learning Chinese as a Foreign Language (CFL) in Ireland, however, remains limited and underexplored. This study investigates how university students in Ireland en...

Wei-Ming Liu, Françoise Blin · 0 citations
#large language models Review Open access Aug 2026

Evaluation of an Artificial Intelligence–Driven Language Model for Age-Specific Patient Education in Pediatric Orthopaedics

GenAI LLMs can generate age-specific explanations for common surgical procedures, treatments, and diagnostic markers in pediatric orthopaedics using an artificial intelligence language model based on the child's age.

Cole Payne, Andrew K. Morse, B. O'Reilly et al. · 0 citations
#generative ai Open access Oct 2026

SUN’IY INTELLEKTNI TA’LIM JARAYONIGA INTEGRATSIYA QILISH: IMKONIYATLAR VA XAVF-HATARLAR

The results demonstrate that methodologically regulated ai integration enhances learning quality, provided there is ongoing monitoring, clear assessment criteria, and established rules of academic integrity.

Алсу Рафаильевна Мадгазина · 0 citations
#generative ai Open access Oct 2026

SUN’IY INTELLEKT VOSITALARI ASOSIDA MUSIQA TA’LIMI O‘QITUVCHILARINING KASBIY KOMPETENSIYALARINI RIVOJLANTIRISH

The didactic possibilities of generative music systems, intelligent music notation editors, and audio processing platforms are revealed and criteria for assessing the digital, technological, and methodological competencies of music teachers are proposed.

Baxtiyor Ibragimovich Mustafayev · 0 citations
#generative ai Open access Oct 2026

INKLYUZIV TA’LIM MUHITIDA GENERATIV AI VOSITALARI YORDAMIDA INGLIZ TILINI O‘QITISH METODIKASINI TAKOMILLASHTIRISH

The study analyzes the potential of generative AI technologies to address students' individual learning needs, differentiate instructional materials, develop English language skills (lexical, grammatical, communicative, and receptive-productive), provide immediate feedback, and support independent learning. The methodo...

Iroda Xolboyeva · 0 citations
#generative ai Book Open access Oct 2026

EmotiStage: Designing an Emotion-Driven Performance System with Multi-modal Generative AI to Support Emotional Awareness

EmotiStage, an emotion-driven performance system powered by multi-modal generative AI that supports emotional awareness by enabling users to externalize, observe, and reinterpret emotions through music and stage performance, is presented.

Zi-Ying Wang, Yi-Hong Lin, Xiang-Lin Zhao et al. · 0 citations
#generative ai Book Open access Oct 2026

PlainHealth: A Multimodal Service Suite for Cognitively Accessible Healthcare Communication

Health information is often difficult for patients, relatives, and caregivers to understand because of technical language, limited health literacy, and cognitive interface barriers. This paper presents PlainHealth, a work-in-progress multimodal service suite that uses generative AI and task-specific language technologi...

L. Moreno, Paloma Martínez, Jesús M. Sánchez-Gómez · 1 citation
#generative ai Book Open access Oct 2026

A Modular Reference Architecture for Patient-Facing Generative AI Health Coaches in Chronic Self-Management

LUCID is presented, a modular conceptual reference architecture for non-diagnostic, patient-facing generative AI health coaching grounded in Therapeutic Patient Education (TPE) that separates curated knowledge, controlled health-context integration, analysis and personalization, response generation through an internal...

Leon Paul Mondrian Munz, Ana Kirschbaum, Christopher Joachim Kania et al. · 1 citation

From tech blogs

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GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

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