large language models

Forecasting the FIFA World Cup 2026 with Large Language Models: A Benchmark of Reasoning, Web-Augmented, Agentic, and Open-Weight AI Systems

It is suggested that reasoning alone is not sufficient for tournament forecasting when the task depends on current squads, recent performance, injuries, rankings, and evolving football context, and this study provides a reproducible evaluation framework for large language model-based sports forecasting.

Hybrid Architecture of Intelligent Systems with a Deterministic Core: from Concept to Prototype

The rapid development of large language models and autonomous intelligent agents has significantly expanded the capabilities of natural language processing and decision support. However, practical implementation reveals fundamental limitations, particularly in tasks requiring computational robustness, reproducibility o...

Large language models for population-level public health communication: an evidence map of deployment, reach and policy gaps

Preprint version 6 (posted 4 September 2026). This version supersedes versions 1–5 and should be used in preference to them. Versions 1–5 were posted on 6 April, 3 June and 4 June 2026. What changed, and why. Version 6 reports a corrected re-analysis carried out after peer review. An audit of the data-charting pipeline...

Consumer Wearable Devices for Population-Level Infectious Disease Surveillance: A Scoping Review

Preprint, version 2. This manuscript has not been peer reviewed. It is under consideration at a peer-reviewed journal. This version supersedes version 1 (10.5281/zenodo.19411761, April 2026), which should no longer be cited for any numerical result. The review was rebuilt rather than amended, and the two versions do no...

BigMixSolDB: Extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline

Supplementary material for the publication "BigMixSolDB: Extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline". This Zenodo record contains the data and supporting materials for BigMixSolDB, a workflow for extracting experimental solubility data from...

ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

Reasoning-Driven Design of Single-Atom Catalysts via a Multiagent Large Language Model Framework

Abstract Large language models (LLMs) are becoming increasingly applied beyond natural language processing, demonstrating strong capabilities in complex scientific tasks that traditionally require human expertise. This progress has extended into materials discovery, where LLMs introduce a new paradigm by leveraging rea...

Cost-Efficient Large Language Model-Assisted Title and Abstract Screening for Systematic Reviews: Method Evaluation and Validation

Reproducibility Package for "A Governance Architecture for AI-Assisted Validation of Construction Cost Knowledge: Combining Domain Rules with LLM Semantic Analysis"

This deposit contains the reproducibility materials for the manuscript "A Governance Architecture for AI-Assisted Validation of Construction Cost Knowledge: Combining Domain Rules with LLM Semantic Analysis." The manuscript presents a deployed tender management system that validates Bill of Quantities (BOQ) pricing for...

Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions

Background. Large language models (LLMs) are increasingly proposed as clinical assistants in critical care, yet their behaviour under prolonged clinical context, conflicting data and authoritative pressure remains insufficiently evaluated. This is particularly relevant for offline or resource-constrained environments,...

DroneServer v2.0.2: an LLM-agnostic, MAVLink-based drone command-and-control MCP server with an untrusted-commander safety layer

Archived copy of the DroneServer code release v2.0.2 (git tag v2.0.2, commit 3281e6c3755814318d436556690c28e669f8c2e9), the version reported in the article An LLM-Agnostic, MAVLink-Based Drone Command and Control Interface and Agentic Harness Using the Model Context Protocol (Ramos Silva and Burke; preprint arXiv:2601....

A community-driven recommender system for speed safety camera policy using large language models and knowledge graphs

Speeding is a persistent contributor to roadway fatalities, accounting for over 30% of traffic deaths in the U.S., prompting the widespread use of Speed Safety Cameras (SSCs) as a proven countermeasure. However, despite their effectiveness, public skepticism, which is driven by concerns over fairness, transparency, and...