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generative ai

2,176 papers

#generative ai Open access Oct 2026

PREreview of "TRACER: Trace-Based Adaptive Cost-Efficient Routing for LLM Classification"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23179235. ## Summary This paper tackles one of the most economically significant problems in production LLM deployment: classification endpoints where every query currently pays ful...

Karmendra Pandey · 0 citations
#generative ai Book Oct 2026

Transmedia Storytelling in a Fragmented Age

Narrative gravity is a system-level diagnostic heuristic for explaining why some transmedia storyworlds remain coherent under platform fragmentation while others lose interpretive stability. The problem is not simply how stories circulate or whether a world possesses a stable core. It is what coherence looks like after...

Jean Pierre Magro · 0 citations
#generative ai Open access Oct 2026

A Comparative Analysis of Generative AI for Architectural Visualization: A Quantitative Comparison Using Objective Evaluation Metrics and the Architectural AI Score (AIS)

This study presents a quantitative metric-based comparison of four state-of-the-art text-to-image generative AI systems for architectural visualization: OpenAI Image Generation, Imagen 4, Midjourney v8.1, and Stable Image Ultra. The models were evaluated using the Architectural Prompt Dataset (APD-50), a controlled, ex...

Volkan Cantemir, Minel Kurtuluş, Ece Cantemir · 0 citations
#generative ai Book Oct 2026

Puanlama Yöntemleri

This chapter examines scoring methods used in educational assessment from an epistemological perspective that focuses on how scores are generated. Accordingly, the methods are organized into three main categories: process-based scoring approaches, automated scoring, and comparative judgement. The first section discusse...

Murat Doğan Şahin · 0 citations
#generative ai Open access Oct 2026

LIÊM CHÍNH HỌC THUẬT TRONG KỶ NGUYÊN TRÍ TUỆ NHÂN TẠO TẠO SINH: THỰC TRẠNG, THÁCH THỨC VÀ GIẢI PHÁP CHO GIÁO DỤC ĐẠI HỌC

Nghiên cứu khảo sát 311 sinh viên đại học nhằm mô tả thực trạng sử dụng trí tuệ nhân tạo tạo sinh (Generative AI – GenAI) và phân tích cấu trúc nhận thức về liêm chính học thuật. Kết quả cho thấy 309/311 sinh viên (99,4%) tự khai đã từng sử dụng GenAI; 74,3% sử dụng thường xuyên hoặc hằng ngày. Phân tích nhân tố khám p...

Mai Thị Thúy Hà, Đỗ Thanh Bình, Nguyễn Thị Mười Phương · 0 citations
#generative ai Dataset Open access Oct 2026

From Digital Competence to AI Readiness: A Scoping Review of Physical Education Teacher Research in the Generative AI Era (2015–2026)

This dataset contains the literature search results, study screening records, and data extraction tables for a scoping review focusing on artificial intelligence readiness among physical education teachers. The files include the initial retrieved bibliographic records, records after duplicate removal, screening decisio...

Cai Zhiqiang · 0 citations
#generative ai Open access Oct 2026

HOW ARTIFICIAL INTELLIGENCE CAN SYSTEMATICALLY ENHANCE SOFT SKILLS IN ENGLISH BLENDED LEARNING – A PEDAGOGICAL DESIGN FOR CHINESE EFL LEARNERS

Soft skills are essential for university students, yet many Chinese EFL learners remain at a knowledge-telling stage, prioritizing language proficiency over interpreting acquired knowledge, while curriculum design has long centered on language hard skills with soft skills often not explicitly included as instructional...

Gao Ning · 0 citations
#generative ai Open access Oct 2026

PREreview of "Where Does Agent Reliability Come From? A Cross-Benchmark Decomposition of Verification Loops, Specialist Models, and Scaffolding in a Production Enterprise Agent"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197406. ## Summary This paper studies Leni, a production enterprise AI business-analyst agent, and asks a question most vendor papers avoid: where does the system's measured relia...

Karmendra Pandey · 0 citations
#generative ai Open access Oct 2026

PREreview of "Towards a Science of AI Agent Reliability"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23179310. ## Summary This paper argues that compressing agent behavior into a single success metric obscures the operational flaws that matter in deployment. Grounded in safety-crit...

Karmendra Pandey · 0 citations
#generative ai Open access Oct 2026

Effects of AI-assisted physical education on students' psychological states: a systematic review and meta-analysis (retrospective registration)

RETROSPECTIVE REGISTRATION: all review stages (search, screening, extraction, meta-analysis, GRADE) were completed between 2026-10-04 and 2026-10-06, before this registration, and the authors have seen the results. This record documents the completed methods and all deviations from the original protocol (PROTOCOL.md, 2...

Water Soi Po Wong · 0 citations

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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.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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