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generative ai

2,658 papers

#generative ai Review Open access Sep 2026

Generative AI-Assisted Principal-Facade Renewal of Lingnan Coastal Vernacular Architectural Heritage in Yun’ao Town Under Hot-Humid and Disaster-Prone Weather Conditions: A Grasshopper–Pix2Pix Framework

AI-assisted renewal of living vernacular settlements must preserve regional identity and historical layering while keeping professional judgment central; however, current facade-generation studies rarely connect field-derived architectural knowledge, controllable data construction, and subsequent design development wit...

Tu-Kun Wang, Jing-Yang Li, Xi Wang et al. · 0 citations
#generative ai Sep 2026

Generative AI in Peer Review: An Evaluation of Capabilities, Limitations, and Responsible Implementation Strategies

Generative artificial intelligence (GenAI) has been increasingly integrated in academic publishing process. This study aims to access the performance of GenAI in peer review using multi-disciplinary manuscript samples. Five GenAI models underwent peer review tests, systematically evaluated for completeness, accuracy, a...

Zhongshi Wang, Mengyue Gong · 0 citations
#generative ai Open access Sep 2026

Generative AI-Driven Standardized Knowledge Governance Framework for College Classical Music Aesthetic Teaching

Aiming at the problem of non-music majors in college failing to convert abstract musical auditory information into stable aesthetic knowledge, this study constructs a framework for music teaching knowledge management. It establishes parametric coding rules to translate six core musical elements into standardized visual...

Xu-Dong Bai, Xiao-Ran Bu · 0 citations
#generative ai Open access Sep 2026

PREreview of "The Defensive Repertoire of New World Coral Snakes: Evolution and Natural History"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22666147. Overall Assessment This study presents a valuable comparative analysis of defensive behaviors, integrating phylogenetic comparative methods with ancestral-state reconstruc...

Matheus Salles, Amanda Varago, 2 other authors · 0 citations
#generative ai Open access Sep 2026

PREreview of "Laws of Entropy Curvature Cosmology"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22657315. Peer Review The manuscript presents an ambitious and potentially interesting framework, Entropy Curvature Cosmology (ECC), attempting to connect thermodynamics, gravity, e...

Folarera Ayobami Kassim · 0 citations
#generative ai Dataset Open access Sep 2026

Randomized Fair Policy Selection from Partially Identifying Data: Code and Numerical Data

This version 4 reproducibility package accompanies Randomized Fair Policy Selection from Partially Identifying Data by Ayush Ojha. The paper studies selecting one policy from a fixed menu, or abstaining, under a uniform bound on the probability of an unfair output. It characterizes attainable return under shared observ...

Ayush Ojha · 0 citations
#generative ai Dataset Open access Sep 2026

Dataset and Research Instrument: Teacher Concerns Regarding Generative AI in Distance Higher Education

This dataset contains the anonymized survey responses ($N=128$) from a quantitative study conducted at UNED regarding higher distance education faculty members' critical professional concerns regarding Generative Artificial Intelligence. It includes the structured dataset (with personal and department identifiers remov...

Leticia Acosta-Sznajderman · 0 citations
#generative ai Open access Sep 2026

Reconstructing a GTFS-Flex Feed from Public Documents: Demand Responsive Transport in Fuso Town, Aichi, Japan

Fuso Town (Aichi Prefecture, Japan) operates a demand-responsive transport service, Choisoko Fuso, for which no GTFS feed is published. This record contains a GTFS-Flex feed for that service, reconstructed entirely from publicly available materials — the town's web pages and its stop-location map — together with the R...

Yasutoshi Moteki · 3 citations
#generative ai Open access Sep 2026

Replication package: Data Governance as a Decision Variable — A Model-Driven Decision Support System for Budget Allocation in Generative AI Adoption

Reference implementation and replication scripts for the paper "Data Governance as a Decision Variable: A Model-Driven Decision Support System for Budget Allocation in Generative AI Adoption" (Recio-Román, Recio-Menéndez & Román-González, 2026). The package reproduces every table and figure reported in the paper's eval...

Almudena Recio-Román, Manuel Recio-Menéndez, María Victoria Román-González · 0 citations
#generative ai Open access Sep 2026

PREreview of "Training Large Language Models for Small-Molecule Design with Synthetic Task Scaling"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22662611. Review of "Training Large Language Models for Small-Molecule Design with Synthetic Task Scaling" Summary This preprint asks whether LLMs can be post-trained for expensive,...

Sneh Pankajbhai Vora · 0 citations
#artificial intelligence Open access Sep 2026

From insight to intervention: learning analytics and generative AI support for learning design and educational decision-making

It is argued that the field must now move from demonstrating associations and proposing frameworks towards intervention research that tests causal mechanisms, implementation conditions, longer-term outcomes, and distributional effects and build trustworthy socio-technical infrastructures that enable educators and learn...

Bart Rienties, B. Divjak, Nancy W. Y. Law · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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