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generative ai

2,450 papers

#generative ai Open access Sep 2026

Generative data augmentation, explainable machine learning, and uncertainty analysis for compressive strength prediction of sustainable UHPC

Recent interest in ultra-high-performance concrete (UHPC) has been on the use of construction and demolition waste (CDW) due to the growing need to use sustainable construction materials. Recycled concrete powder (RCP), a product of CDW, is a promising way to reduce cement use, lower CO2 emissions, and make green const...

A. Farouk, S. Abdulrahman, Mohammed M. Al-Osta et al. · 0 citations
#artificial intelligence Review Open access Aug 2026

The Coordination Compression Trap: A Dynamic Model of AI-Enabled Productivity, Verification Debt, and Organisational Resilience in Global Knowledge Firms

Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss. Study Design:...

Kwan-Hong Tan · 2 citations
#generative ai Dataset Open access Sep 2026

Calibrated Residual Tube Projection During Conditional Diffusion Sampling for Thermal Time Series — Code and Experimental Evidence

Code and experimental evidence supporting Calibrated Residual Tube Projection During Conditional Diffusion Sampling for Thermal Time Series, by Hyojin Park and Jinhong Yang (corresponding author). The release contains the selected B6 checkpoint, original method implementations, exact simulator and score settings, froze...

Hyojin Park, Jinhong Yang · 0 citations
#generative ai Review Open access Sep 2026

Democratisation of Dynamic Pricing: A Bibliometric-Systematic Literature Review of Generative AI Applications in MSME Electronic Markets

Abstract: This study presents a comprehensive bibliometric and systematic literature review of research on Generative Artificial Intelligence (GenAI) in predictive marketing and dynamic pricing, with a particular emphasis on micro, small, and medium-sized enterprises (MSMEs) in electronic markets. Drawing on 528 peer-r...

Satyanarayana Rentala, Anubhav Singh - · 0 citations
#generative ai Open access Sep 2026

HOW IMAGE GENERATION SYSTEMS DEMONSTRATE STEREOTYPES: EVIDENCE FROM THE CHINESE AI SYSTEM WENXINYIGE

As Artificial Intelligence (AI) applications expand across diverse domains, questions of bias, discrimination, and social justice have become central to the field of AI ethics. While international scholarship has examined how generative systems such as DALL·E and Midjourney reproduce cultural and gendered stereotypes,...

Katherine Bode and Yuki Gong Huimeng Wang · 0 citations
#generative ai Dataset Open access Sep 2026

Generative AI in Programming Education: Students’ Ethical Judgements Across Five University Sites

Background and Context: GenAI can support explanation, debugging, and personalised practice in programming courses, but it can also generate code that substitutes for the programming performance that assessments are intended to evidence. Computer science educators therefore need evidence about how students judge differ...

Irina Zlotnikova, Brian Harrington, Gayathri Nadarajan et al. · 0 citations
#generative ai Open access Sep 2026

Genre-Routed Generative Resonance: Black-Box AI Text Detection via Dual-Horizon Probing and Structural Rhythm

This paper addresses the fundamental vulnerabilities of current AI text detectors: their dependence on closed proprietary token probabilities and their severe false positive bias against non-native English writers. We introduce Genre-Routed Generative Resonance, a black-box detection framework that queries open surroga...

Debdip Bandyopadhyay · 0 citations
#generative ai Open access Sep 2026

The Sharp Normalized Two-Site Exponent in Dimension Twelve for the Araoka–Tokihiro Equation

This preprint determines the sharp universal exponent of the ordered two-site sweep associated with normalized bijective solutions of the Araoka–Tokihiro functional equation in dimension twelve over the binary field.It proves that every such two-site sweep has period dividing thirty-two and that this bound is attained....

Akihiro Koide · 0 citations
#generative ai Review Open access Sep 2026

Artificial intelligence in scientific research: a practical guide to tools and ethical considerations

Artificial intelligence (AI), including generative AI and large language models (LLMs), is rapidly transforming scientific research. It is increasingly being integrated into multiple stages of the research process. The public release of ChatGPT in November 2022 contributed to increased adoption of these technologies, c...

E. M. Alakraa, Amgad Abd El Raouf Farhat · 0 citations
#generative ai Review Open access Sep 2026

Beyond the Rubric

Beyond the Rubric: Reconceptualizing Assessment as Dialogue examines how assessment in higher education can become a continuing exchange through which students learn to interpret standards, use feedback, and develop evaluative judgement. Dr. Naeem Fatima brings together dialogic pedagogy, sociocultural theory, feedback...

Naeem Fatima · 0 citations
#generative ai Open access Sep 2026

Two stability criteria for constrained phases of multi-colour Ising models: exactly six strictly closed supports at every colour count

Version 2 withdraws a claim made in version 1. Version 1 of this note asserted that the complete four-colour Ashkin-Teller study (10.5281/zenodo.22832697) had drawn an incorrect inference about its C1 and C3 phases, and a correction to that effect was attached to that record. That assertion was wrong and is withdrawn i...

Egemen Ekinci · 0 citations

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GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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.

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