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large language models

2,329 papers

#large language models Open access Sep 2026

Coverage-Free Fuzzing: LLM-Guided Refinement of Grammar-Based Test Generators

Property-based testing tools such as Hypothesis can turn a formal grammar into a generator of syntactically valid inputs, but the generator itself is typically static: hand-tuned once and reused unchanged for the rest of a fuzzing campaign. We study whether a large language model (LLM), given only a formal grammar and...

Ziyad Mohammad Mansy Ibrahim · 3 citations
#large language models Open access Sep 2026

PENGEMBANGAN FLIPBOOK INTERAKTIF BERBASIS AUGMENTED REALITY UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS DAN METAKOGNITIF

The excretory system topic in biology education is often perceived as abstract and difficult to visualize, which negatively impacts students' critical thinking and metacognitive skills. This study aims to develop and examine the effectiveness of an interactive flipbook based on Augmented Reality (AR) integrated with th...

Dedeh Lisna Lestari · 0 citations
#large language models Open access Sep 2026

Auditing the Unread — A Corpus Validation Software Framework for Undeciphered Scripts, with a Demonstration on Linear A (including open-source code)

🔗 This paper is accompanied by open-source software and a fully reproducible pipeline. Code and data-generation scripts are available at:https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-aLicense: https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-a/...

Chris Tsirkas · 0 citations
#large language models Open access Sep 2026

SIGIL: Construction-Level Security for Agent-Authored Code

Large language model (LLM) agents increasingly write, compile, execute, and revise software inside systems that also hold files, credentials, and network authority. In that setting, security cannot depend on human review, external sandboxes, or post-hoc filtering alone: those mechanisms treat generated code as an opaqu...

Nigel Robinson · 0 citations
#large language models Open access Sep 2026

Supplementary Data for Small Language Models for AEC Tasks: Technology Evolution, Current Practices, and Future AI Systems

# Supplementary Data Package This package contains this README and four supplementary workbooks needed to trace the study corpus, screening validation, reporting, and the evidence summarized in manuscript Tables 5 and 6. `Supplementary_Table_S1_Corpus_and_Search.xlsx` documents the evidence base used in the review. Its...

Zheng Ma · 0 citations
#large language models Open access Sep 2026

Implementasi Artificial Intelligence untuk Analisis Attack Surface dan Rekomendasi Remediasi Kerentanan Keamanan Berbasis Vulnerability Assessment pada Website UMKM

VulnScope, a web-based vulnerability assessment (VA) system that integrates a Large Language Model (LLM) to analyze the attack surface and generate contextual remediation recommendations, shows that integrating VA with artificial intelligence effectively helps MSME owners independently identify and remediate website se...

Willy Wijayanto, Yuma Akbar, Mesra Betty Yel · 0 citations
#large language models Open access Sep 2026

Tribal OS: How Social Machinery (Status, Shame, Coalition) Works, and What Breaks When It Scales

Modern humans run an inherited psychological operating system. Its deepest layer is conserved primate social architecture; call it the firmware. It sorts people into ours and theirs, then helps determine whom to copy, whom to submit to, whom to desire, and whom to tend. This machinery was calibrated in small, repeatedl...

Loren Curtis Rauch · 0 citations
#large language models Open access Sep 2026

Best-of-N: Inference-Time Compute for Small Language Models

Technical note TR-2026-02, superseding TR-2026-01. We measure what happens when a frozen language model is sampled 128 times perproblem and the result is selected rather than taken as given. On GSM8K,Qwen2.5-0.5B-Instruct goes from 45.3% at a single sample to 66.5% undermajority voting, with no weights modified. Covera...

Alejandro Areces Rivera · 0 citations
#artificial intelligence Dataset Open access Sep 2026

DOACT.Vasc Study

The project was conceived and developed based on an automated computational flowchart structured through a decision tree using the CART (Classification and Regression Tree) method, and it was approved by the Ethics Committee of Santa Casa de São Paulo. The resulting algorithm, named DOACT, was fully documented and made...

abreu, italo eugenio souza gadelha · 0 citations
#artificial intelligence Book Open access Sep 2026

MACHINE LEARNING FOR CYBERSECURITY: ADVERSARIAL ATTACKS AND DEFENSE

FUNDAMENTALS OF MACHINE LEARNING At the heart of digital transformation lies machine learning, a pivotal technology that shapes the course of innovation. Essentially, machine learning enables computers to learn from data and make independent decisions without needing specific programming instructions .For individuals a...

Kapil Shukla, Dr. BHARGAV PADHYA · 0 citations
#artificial intelligence Book Open access Sep 2026

MACHINE LEARNING FOR CYBERSECURITY: ADVERSARIAL ATTACKS AND DEFENSE

FUNDAMENTALS OF MACHINE LEARNING At the heart of digital transformation lies machine learning, a pivotal technology that shapes the course of innovation. Essentially, machine learning enables computers to learn from data and make independent decisions without needing specific programming instructions .For individuals a...

Kapil Shukla, Dr. BHARGAV PADHYA · 0 citations
#large language models Review Open access Sep 2026

Beyond Empathy: Emotional Intelligence and Artificial Intelligence in Clinical Social Work Practice, Therapeutic Alliance and Human Services

Artificial intelligence possesses growing capacity to recognize, interpret, and simulate emotional responses, but core dimensions of emotional intelligence—including authentic empathy, moral reasoning, contextual judgment, cultural responsiveness, and relational attunement—remain fundamentally human competencies.

G. B. Bailey · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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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