large language models

Large language models for literature screening in conceptually complex and interdisciplinary reviews

It is suggested that current LLMs can support literature screening, but their reliability depends strongly on the conceptual clarity of the review task and the structure of eligibility criteria, as well as practical implications for the transparent and responsible use of LLMs in informetric research and systematic revi...

Automated Evaluation Methods for Open-Ended Question in Hydropower Domain Based on Large Language Models

Large Language Models for Clinical Note Simplification: A Systematic Review and Experimental Evaluation of Medical Text Readability.

The findings suggest that conventional readability metrics should be extended with domain-specific measures to more accurately assess comprehensibility in medical texts and that large Language Models show strong potential to enhance the accessibility of clinical documentation for patients.

Exercise-based cardiac rehabilitation and health-related quality of life in coronary artery disease: a systematic review and meta-analysis by exercise modality and disease status

Exercise-based cardiac rehabilitation may improve health-related quality of life (HR-QoL) in patients with coronary artery disease (CAD), but whether responses differ by exercise modality and baseline disease status remains uncertain. We searched four English- and Chinese-language databases through September 2025 for r...

Introducing Synthetic Psychology: Validation Across Personality and Established Relationships.

This research introduces Synthetic Psychology (SP), a novel research approach in which large language models are configured to generate responses as synthetic individuals with predetermined psychological profiles. Across four studies with 20 replications, we configured Llama 3.3 as 32 distinct Big Five personality prof...

GarmentSketch: Large-Scale Sketch-to-Fashion Benchmark

Intention-like representations in language models?

Abstract A growing chorus of AI researchers and philosophers posit internal representations in large language models (LLMs). But how do these representations relate to the kinds of mental states we routinely ascribe to our fellow humans? While some research has focused on belief- or knowledge-like states in LLMs, there...

In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts

Abstract The capabilities of large language models (LLMs) have expanded beyond natural language processing to scientific prediction tasks, including molecular property prediction. However, their effectiveness in in-context learning remains ambiguous, particularly given the potential for training data contamination in w...

AI-assisted data extraction for systematic reviews in education

Kinship Reasoning as a Testbed for Neuro-Symbolic Architectures: Comparing LLM–Prolog Integration Strategies and Assessing Cultural Bias

Research on AI-Empowered Software Test Case Generation

This work leverages large language models to analyze and extract test cases from requirement documents, and constructs an automated test case generation framework by specifying standard input and output values of test samples, test coverage scope, and AI agent roles.

Uncoded Clinical Features from Multilingual Electronic Health Records in Catalonia: Development and Validation Study (Preprint)

BACKGROUND Unstructured free‑text narratives in electronic health records (EHRs) contain critical clinical information that is not captured by structured standard codes. In Catalonia, primary care notes follow a semi‑structured format known as MEAP (in Catalan). However, extracting structured variables using cloud‑host...