large language models

Automating the triage of rheumatology outpatient referrals: a comparative evaluation of 23 large language models under simple and advanced prompting

Abstract Triage of rheumatology outpatient referrals is a high-volume administrative task that consumes senior specialist time without advancing patient care. The human triage system is only moderately accurate and reproducible. We assessed whether contemporary large language models (LLMs) are able to perform well enou...

Towards UVL-Based Variability Modelling of Drone Propellers

Beyond Emotion Scores: Reproducibility Data and Validation Materials for a Systematic Review of Emotional AI (2019–2026)

This dataset provides the supplementary data and reproducibility materials accompanying the systematic literature review Beyond Emotion Scores: Evaluating Emotional AI Across Benchmarks, Cultures, and Time in the LLM Era - A Systematic Review. The review covers literature published from 1 January 2019 to 26 September 2...

Prognostic Utility and Clinical Impact of Soluble Urokinase Plasminogen Activator Receptor in Adult Emergency and Acute-Care Patients: A Systematic Review and Narrative Synthesis

Soluble urokinase plasminogen activator receptor (suPAR) reflects systemic immune activation and biological vulnerability and has been proposed as a cross-diagnostic prognostic biomarker in emergency care. We systematically reviewed full-text English-language reports published from 1 January 2015 through 20 July 2026 i...

Self-Reflection and Error-Correction Mechanisms in LLMs Driven by Reinforcement Learning

Large language models have shown very strong abilities on complex reason work, but they still have many problems, these problems include error accumulation and hallucinations. Therefore, letting these models have the ability of self-reflection and error correction has hence become a core research focus. This research p...

GeoAct: evaluation materials for action-level access control in a geospatial LLM agent

Evaluation materials for the paper "GeoAct: action-level access control for agentic geospatial analysis with local large language models". GeoAct is a geospatial agent that plans and executes spatial-analysis tool calls on behalf of a user in a multi-tenant spatial data infrastructure. Every tool invocation is authoris...

A large-scale pipeline for LLM-assisted corpus annotation

As natural language corpora expand at an unprecedented rate, manual annotation remains a significant methodological bottleneck in corpus linguistic work. We address this challenge by presenting a scalable pipeline for automating grammatical annotation using large language models (LLMs). We demonstrate the pipeli...

Social-Democratic and Liberal Features of the Swedish Socio-Economic Development Model (English translation of a 2012 Russian-language term paper)

English translation of a term paper (Kursovaya rabota) originally written in Russian and submitted in 2012 at the Department of General History, Dostoevsky Omsk State University, Russia; supervisor: E. N. Efimenko. This is undergraduate coursework, posted as is; the abstract and keywords were added by the translator an...

Replicability of agent-based simulations: a case study with a SEIRS epidemiological model

Reproducibility is not only a cornerstone of the advancement of science, but also of scientific credibility. However, it remains a persistent challenge across many disciplines, and it is now referred to as the “reproducibility crisis.” This issue is particularly relevant in computational modeling. In this paper, we wan...

LLM-based Structured Intermediate Representation for building regulation encoding

Automating the encoding of building codes into formal representations is a critical step for compliance checking, yet it is often hindered by the linguistic complexity of regulations. This paper develops a two-stage pipeline that utilises Large Language Models (LLMs) to generate LegalRuleML (LRML) through a Structured...

Identifying technological problems and exploring potential solutions to support R&D: Tech-mining with multi-LLM applications

The shortening of technology lifecycles and growing technological complexity have made the rapid identification of technical problems and exploration of solutions a critical challenge. Patent analysis can serve as a crucial tool for supporting R&D activities by extracting problem–solution pairs from patent documents. H...

Social Robotics and Human–Robot Communication

This chapter explores the ergonomic, cognitive, and psychological mechanisms underpinning human–robot communication, focusing on the role of social robots in shaping human perception, behaviour, and socio-emotional engagement. By analysing factors such as robot design, embodiment, and communication modalities, the chap...