large language models

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...

M3: Conversational LLMs simplify secure clinical data access, understanding, and analysis

Large-scale clinical databases offer opportunities for medical research, but their complexity creates barriers to effective use. The Medical Information Mart for Intensive Care (MIMIC-IV), one of the world’s largest open-source electronic health record databases, traditionally requires both SQL proficiency and clinical...

Vision Based Fitness Analysis and Adaptive Health Management Using Deep Learning and Large Language Models

In the past few years, a growing understanding of health and fitness has highlighted the need for intelligent systems that offer personalized and adaptive recommendations. This work describes a vision-based fitness analysis and adaptive health management system that utilizes computer vision and generative artificial in...

ChatGear: an artificial intelligence system for gear transmission design based on large language models

A hybrid framework combining large language models and Shapley-based methods for explainable cyberbullying detection

A comprehensive framework for cyberbullying detection that integrates two complementary eXplainable Artificial Intelligence techniques based on Large Language Model explanations and a SHAP value–based interpretability is presented, demonstrating the importance of combining complementary XAI techniques to support transp...

Toward agentic large language models in travel behavior research