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generative ai

2,298 papers

#large language models Review Sep 2026

Agentic Workflow for Automated Systematic Literature Review: A Case Study on Generative AI Applications in the Oil and Gas Industry

The rapid expansion of generative AI across the oil and gas applications has created an urgent need for structured review on emerging research trends. However, traditional systematic literature reviews (SLRs) are time-consuming and difficult to scale as the volume of AI publications grows every day. This paper propos...

O. E. Abdelaziem, M. Amer · 0 citations
#large language models Open access Sep 2026

Six Architectures for Automated IELTS Writing Assessment: A Comparative Evaluation of Scoring Behaviour, Latency, and Cost

Automated evaluation of IELTS Writing Task 2 essays requires judging task fulfilment, coherence, vocabulary, and grammar in ways that approximate trained human examiners, while remaining fast and inexpensive enough for practical deployment. This paper presents a systematic comparison of six architectures for automated...

Fatima Ismail · 0 citations
#generative ai Dataset Open access Sep 2026

D2A-HWY-60: A Reproducible Benchmark for Uncertainty-Aware Design-to-As-Built Verification in Highway Construction

D2A-HWY-60 is a reproducibility package and controlled benchmark for uncertainty-aware design-to-as-built verification in highway construction. It accompanies the manuscript “An Uncertainty-Aware Digital-Twin Framework for Automated Design-to-As-Built Verification in Highway Construction.” The benchmark contains 60 res...

Usman Haider, Hina Iqbal, Humayon Muhammad et al. · 0 citations

MITIGATING THE GERMAN LANGUAGE TEACHER AND SHORTAGE IN UNITED STATES K 16 EDUCATION THROUGH AI ASSISTED INSTRUCTIONAL DESIGN

German language education in the United States faces two connected pressures: a limited supply of qualified teachers and a contraction of programs and enrollments, especially at institutions with fewer resources. Generative artificial intelligence cannot certify teachers, improve salaries, or reverse institutional disi...

Gideon Akinwale Oladayo · 0 citations

Automating Psychometric Assessment Using Generative AI: A Scalable Framework for Industrial Applications

Abstract Large industrial organizations increasingly rely on psychometric assessment to support high-stakes workforce decisions across geo-graphically dispersed and safety-critical environments. Traditional assessment workflows, which depend heavily on manual scoring and expert psychological interpretation, face signif...

Arwa Alnajashi, Sarafudheen Muzaliamveettil Tharayil, Maria Alghamdi · 0 citations

GENERATIVE AI IN TOURISM: OPPORTUNITIES, RISKS, AND IMPLICATIONS FOR AFRICAN AND SUB-SAHARAN TOURISM DESTINATIONS

Generative artificial intelligence (GenAI) is changing how tourists search for information, construct itineraries, evaluate destinations, and interact with tourism businesses. Recent tourism research has expanded rapidly, but the evidence base remains uneven across regions and applications. This literature review synth...

Gomba Pamela Anesu, Guisong Chen · 0 citations
#artificial intelligence Open access Sep 2026

Spectra Human-Centered Learning Framework: A Socio-Technical Architecture for AI-Supported Higher Education

Generative artificial intelligence (GenAI) can produce persuasive university work without revealing who performed or checked the reasoning behind it. This conceptual article develops an AI-specific elaboration of the previously disseminated Spectra Human-Centered Learning Framework. Its three foundational conditions, s...

Mario Guadalupe López Ayala · 1 citation
#generative ai Review Open access Oct 2026

Generative artificial intelligence and academic outcomes of Philippine information technology students

The findings indicate that generative AI can support student learning when institutions pair curricular integration with verification practices, ethical-use guidance, and assessment designs that preserve independent thinking.

Ronald U. Wacas, Christina T. Caddawan · 0 citations
#generative ai Open access Sep 2026

R Code for Regional Analysis: Leaflet-based Mapping of Geotagged Photos with QGIS-ready Exports (PPGIS and Fieldwork Records) 地域分析のためのRコード:ジオタグ付き写真のLeaflet地図化とQGIS向け出力(PPGIS・フィールド記録)

スマートフォンで撮影したジオタグ付き写真のフォルダから、EXIFの位置情報と撮影メタデータを読み取り、次の三つを出力するRスクリプトである。 Leafletの地図(HTML1ファイル。地点をクリックすると写真が表示される) 写真ごとの座標・撮影時刻・方位・水平誤差の一覧(CSV) 同じ内容の点レイヤ(GeoPackage。QGISで直接開ける) 研究プロトコル「...

Yasutoshi Moteki · 0 citations
#generative ai Open access Sep 2026

Gatekeeping in the age of generative AI

Twenty years after open access transformed scholarly publishing, another game-changer in the form of generative AI emerged, bringing with it significant implications for the quality of the scholarly record. The peer-review system, which has long been the most important gatekeeping and evaluation mechanism used by publi...

Catherine Ann Marshall, Isabella Peters, Niels Taubert · 0 citations
#generative ai Book Open access Aug 2026

Artly: Exploring Digital Artists' Perceptions of AI-Generated Feedback

Artly is presented, an AI system that combines personalizable AI feedback with human-authored learning resources that was perceived as helpful for learning and self-improvement, with the exception of the most proficient participants.

Ulvi Rajabli, Alexander Wiethoff, Zelun Tony Zhang · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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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