Deploying large language models (LLMs) on resource-constrained mobile devices remains a significant challenge due to memory limitations and high I/O overhead. While existing dynamic sparsity methods reduce computation costs, they often suffer from inefficient loading patterns that degrade I/O throughput. To address thi...
Wei-Ning Chen, Yong-Heng Deng, Xiang Wang et al.· IEEE Transactions on Mobile...· 0 citations
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...
Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Mahdi Moein et al.· Lecture notes in computer sc...· 0 citations
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...
Jing Ying Zhao, Hamed Heydari, Hani Goodarzi et al.· Zenodo (CERN European Organi...· 0 citations
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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-...
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...
Kleber Fernando Dos Santos· Zenodo (CERN European Organi...· 0 citations
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...
Paul M Macharia, Annie Hartley, Jinfeng Ding et al.· Open Research Africa· 0 citations
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...
João Pedro Portugal, Miguel Nuno Portugal· Open Science Framework· 0 citations
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...
Tianwei Mu, Feiyu Duan, Dan Xue et al.· Communications AI & Computin...· 0 citations
# 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...
Eran Tobul· Zenodo (CERN European Organi...· 0 citations
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...
Aris Dressino· Zenodo (CERN European Organi...· 0 citations