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generative ai

2,222 papers

#generative ai Dataset Open access Oct 2026

Model Parameter-Scale Classification and Black-Box Provenance Auditing via Multi-Density Reverse Cloze Resonance Spectroscopy

As generative foundation models become embedded across commercial chatbots, autonomous agents, and synthetic content streams, determining the underlying parameter capacity tier (8B, 24B, 70B, or 600B+ MoE) and architectural lineage of black-box text outputs has emerged as a fundamental challenge in AI forensics, regula...

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

From generative AI usage to entrepreneurial intention: The sequential roles of task and social self-efficacy

Generative artificial intelligence (GAI) is rapidly evolving and creating new possibilities for supporting students' entrepreneurial development. However, limited research has examined how GAI usage is associated with entrepreneurial intention (EI) through specific psychological pathways. Drawing on self-efficacy theor...

Qianjun Zhang, Qiang Li, Zhuoyu Li et al. · 0 citations
#generative ai Open access Oct 2026

Processes of Patterning: AI, Literacy, and the Epistemological Challenge

This article develops a conceptual analysis of what occurs when central dimensions of literacy are outsourced to Generative Artificial Intelligence (GenAI) systems. Classical conceptions of literacy, sociocultural theories of mediated learning, and postdigital perspectives on knowledge practices, provide the theore...

Henrik Åhman, C. Thorén · 0 citations
#generative ai Open access Oct 2026

SHDA Algorithms for Scoped Evidence Reuse and Recalibration

Hierarchical systems must revise their upper-level representations without discarding every useful lower-level alternative or carrying invalid evidence into a changed context. This paper develops an executable technical slice of the SHDA framework: an evidence lifecycle in which explicit dependencies determine what can...

Bin Seol · 0 citations
#generative ai Open access Oct 2026

Paper B: Field Baseline Results. Does presentation format affect blind entity retrieval and brand attribution in production generative engines?

Results for the pre-registered field baseline deposited as version 1.0 of this record (DOI 10.5281/zenodo.22798718, 16 September 2026). This version reports the registered dependent variables, completes Section 9 of the pre-registration from the session logs, and deposits the evidence package. Across 40 confirmatory se...

Artur Ferreira, julio Arévalo Piedra. · 0 citations
#generative ai Open access Oct 2026

PREreview of "Psychosexual Rehabilitation After Cancer: A Narrative Review of the Intervention Evidence and a Stepped-Care Model for Survivorship Practice"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121295. This narrative review asks how psychosexual rehabilitation after cancer can be delivered at scale, rather than describing how common sexual dysfunction is. The author orga...

Ghadeer Asarwi · 0 citations
#generative ai Open access Oct 2026

Ethical Challenges of Generative AI in Education

With its swift evolution, generative artificial intelligence (GenAI) has revolutionized the field of education, offering possibilities for personalized learning, automated grading, content generation, and administrative assistance. Large language models (LLMs), like ChatGPT and Gemini, have revolutionized the way teach...

Amey Pangarkar · 1 citation
#generative ai Open access Oct 2026

Open Access Materials (Generative AI Dependency Among Chinese Journalism and Communication Students: A Grounded Theory Study)

This project contains the supplementary research materials accompanying a grounded theory study examining how Chinese journalism and communication students engage with, and in some cases develop dependency on, generative AI (GAI) tools in academic contexts. The study is based on semi-structured interviews with 20 stude...

Mo Huang · 0 citations
#generative ai Book Open access Oct 2026

EL-RAKHAWI DOCTRINE OF THE SUPREME SYMBIOTIC COURT: THE JUDICIAL ARCHITECTURE FOR THE POST-AGI ERA

EL-RAKHAWI DOCTRINE OF THE SUPREME SYMBIOTIC COURT: EXECUTIVE SUMMARY This treatise establishes the definitive judicial architecture for the post-AGI era: the El-Rakhawi Supreme Symbiotic Court. Traditional legal systems are fundamentally inadequate to address algorithmic crimes and networked harm. This work proposes a...

mohamed kamal arafa el-rakhawi · 0 citations
#generative ai Open access Oct 2026

Pixel Dropping Method — Fixator Splitting System with Automatic Splitting and Reassembly — Full Version — Kinder Wunder

Pixel Dropping Method — Fixator Splitting System with Automatic Splitting and Reassembly — Full Version. Author: Kinder Wunder — Independent Researcher, Toronto, CA — Date: 03.10.2026 DOI: 10.5281/zenodo.23124833 — Category: G06T 13/00 Abstract: The method for character identity fixation in generative systems is propos...

Kinder Wunder · 0 citations
#generative ai Open access Oct 2026

Generative Artificial Intelligence, Academic Integrity and Authentic Assessment within an Irish University

Academics need both an overarching policy on Generative Artificial Intelligence (Gen AI) use in teaching and learning, yet agency in its application across various disciplines. Clarity on the use of the technology for both students and staff is therefore a challenge and characterised by uncertainty given how its applic...

Louise Nagle, Brigid Crowley, Laura Rafferty et al. · 0 citations
#generative ai Open access Oct 2026

Judgment Formation in AI-Mediated Inquiry: A Preliminary Generative Relational Account

This paper develops a preliminary Generative Relational (GR) account of judgment formation in AI-mediated inquiry. Its analytical object is not judgment in general and not a contest between human and artificial judgment. The paper examines how historically developed capacities for framing, discrimination, confidence ca...

Wanhong Huang, Wanhong Huang · 0 citations

From tech blogs

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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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