large language models

Designing Teacher-Centered Interfaces to Elicit Pedagogical Context for LLM-Based Content Generation

Abstract Large Language Models (LLMs) can help teachers generate and adapt educational materials, but most interactions still rely on free-form prompting, making instructional intent difficult to express and reuse. In this paper, we study how teacher-facing interfaces can elicit pedagogically meaningful contextual info...

LEAF-1 pretraining corpus: cfDNA fragments

This record documents the cell-free DNA (cfDNA) portion of the pretraining corpus of LEAF-1, a DNA language model of cell-free DNA and chromatin-accessibility fragments. The fragment files themselves (211 GB bgzip-compressed, 34.0 billion fragments) are too large for Zenodo and are hosted on Hugging Face: huggingface.c...

Research Data for “From Extraction Accuracy to Analytical Admissibility: A Human–AI Division of Labor Protocol for LLM-Based Supply-Chain Risk Intelligence”

This dataset contains the reproducibility materials supporting the study “From Extraction Accuracy to Analytical Admissibility: A Human–AI Division of Labor Protocol for LLM-Based Supply-Chain Risk Intelligence.” The package supports an offline benchmark of four open-weight large language models—DeepSeek-V3.2, Qwen3.8-...

Bibliographic References Repository - Triaxial Evaluation of Large Language Models in Code Generation: A Structural and Semantic Approach.

This repository provides the bibliographic dataset and methodological documentation supporting the research article *"Triaxial Evaluation of Large Language Models in Code Generation: A Structural and Semantic Approach"*. The dataset consists of a comprehensive BibTeX (`.bib`) file containing a hybrid corpus of scientif...

A User-Centered Approach to Customizing, Validating, and Evaluating a Large Language Model for Empowering Healthcare Providers with Up-to-Date Information on Adolescent and Child Health

Healthcare professionals (HCPs) in Kenya face critical challenges in accessing reliable, context-specific information on adolescent and child health, which hampers clinical decision-making and compromises patient outcomes. Large Language Models (LLMs) offer a promising solution by delivering context-aware, localized kn...

From Multi-Agent Systems to AI Ecosystems in Tourism and Hospitality: A Scoping Review Protocol

This scoping review will map how interactions between computational agents are designed, coordinated, evaluated, and governed in tourism and hospitality. It will cover traditional multi-agent systems and architectures based on large language models, identifying applications, agent roles, coordination mechanisms, evalua...

Provenance-Aware Evaluation of Cloud and Local Large Language Models for Cybersecurity Workloads

LeakAgent: a multi-agent system for leak detection using multi-modal large language model coordination in water distribution network

Water distribution networks (WDNs) suffer from severe leakage, yet pinpointing the leaks remains difficult. Data-driven detection is typically split into disconnected stages of hydraulic modelling, partitioning, sensor planning and analysis, and it treats the questions of whether a leak exists and where it lies as sepa...

**The Earth That Heard** is a 30-chapter bilingual essay (Hebrew and English) that traces a continuous textual architecture from the murder of Abel in Genesis to Joshua's altar on Mount Ebal.

# Zenodo Description — v15 ## Title Bound by Design: The Earth That Heard — Sukkot 2026 Edition (v15) ## Description **The Earth That Heard** is a 30-chapter bilingual essay (Hebrew and English) that traces a continuous textual architecture from the murder of Abel in Genesis to Joshua's altar on Mount Ebal. The author...

InventOR: A Human-Reviewed, Prompt-Configured Large Language Model Decision Support System for Material-Level Inventory Control

Confidentiality-screened public release: analysis code, anonymized variable schema, aggregate evaluation results (Run 1, Run 2, Run 3), manuscript sources, and integrity manifest for InventOR, a prompt-configured LLM workflow that generates material-level (r,Q) inventory policies without project-specific model training...

Benchmark-Driven Selection of AI Can Improve Capabilities of Reasoning Language Models in Epistemology

Abstract Evaluation of reasoning language models gained importance after it was observed that they can combine their existing capabilities into novel traces of intermediate steps before task completion and that the traces can sometimes help them to generalize better than past models. We show that better performance res...

Omics data discovery agents: Agent-supported retrieval, reanalysis, and synthesis of published omics data.

The biomedical literature contains a vast collection of omics studies, yet most published data remain functionally inaccessible for computational reuse. When raw data are deposited in public repositories, essential information for reproducing reported results is dispersed across main text, supplementary files, and code...