large language models

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order

THE EVOLVING BACKEND OF REALITY Meta-Rules, Effective Laws, Recursive Constraints, and the Evolution of Generative Order The Evolving Backend of Reality is Volume II of The Reality Systems Trilogy and a large-scale research exploration of one of the deepest questions left open by The Immanent Backend of Reality: Can ru...

Data and code: taxonomic distance of species confusions by large language models

Data and code for the article Borrowed from a relative: how close the lending species is when a large language model attributes another species' record (Ji Sun Hong and Yuyong Kim). The article asks whether the species whose record a large language model borrows, when it answers about another species, is taxonomically...

A hybrid deep learning–based OCR model for handwritten medical prescriptions

The current trend involving the use of paper-based medical prescriptions and the exchange of such by the social media is a major problem in automated and accurate text extraction in healthcare processes. This paper suggests a complete smart pipeline to digitize the images of medical prescriptions with lightweight deep...

The Eros Axis: Describing the Generative-Approach Dimension in Artificial Intelligence

Recent interpretability research has produced preliminary maps of the aversion dimension in large language models. What remains largely undescribed is the symmetric dimension — the approach pole of the bilateral axis. This paper names and formally describes that dimension: the Eros axis, defined as the generative-appro...

Measuring Academic Performance in Psychology in the Era of AI: The benefits of an oral viva in assessing undergraduate dissertations

Advances in artificial intelligence (AI), particularly large language models (LLMs), challenge psychology educators’ ability to assess students’ understanding and judgement through written coursework. We argue that this issue is especially acute for the compulsory empirical project required for British Psychological So...

Linking Heliophysics Publications to Mission Data

Heliophysics papers frequently reference mission data informally rather than through formal citations, leaving data usage often untracked. We have created a pipeline that uses large language models to automatically extract data references from heliophysics papers. These data references consist of missions, instruments,...

Hybrid deep learning for three-way classification of human-written, AI-generated, and AI-rephrased text

The rapid proliferation of large language models (LLMs) has made it increasingly difficult to distinguish AI-generated and AI-rephrased text from authentic human writing, posing serious risks to academic integrity, journalism, and e-commerce credibility. This paper presents a rigorous benchmark evaluation for three-w...

Linking Heliophysics Publications to Mission Data

Heliophysics papers frequently reference mission data informally rather than through formal citations, leaving data usage often untracked. We have created a pipeline that uses large language models to automatically extract data references from heliophysics papers. These data references consist of missions, instruments,...

Development and Nationwide Multicentre Evaluation of Guideline-Grounded Large Language Model Chatbots to Support Patient Self-Management and Education in Rheumatology

Patients with rheumatic diseases have persistent information needs that are not fully addressed in routine care. We developed and evaluated guideline-grounded, large language model (LLM) chatbots to support patient self-management and education in rheumatology. Ten disease-specific chatbots based on German guidelines w...

Automated SOLID Violation Detection and Refactoring on Real Life Repositories

This paper presents an automated framework for detecting and refactoring SOLID design principle violations in real-world software repositories using Large Language Model (LLM) agents. Recognizing that architectural issues often span multiple files, we implement a dynamic agentic detection system that utilizes Abstract...

Assessing inter-rater agreement among large language model judges: Evidence from persona evaluation across varying educational risk contexts

Testing Multireference Methods Against a Measured Iron Spin Gap: the Peters Fe₂(μ-H)₂ Complex

Spin States of a Diiron Dihydride — a Computational Case Study of the Peters 3-N₂ Complex In plain language We asked computer simulation to reproduce one measured property of a real iron compound, and got the direction right but the size only roughly. The compound is a two-iron molecule made at Caltech in 2014. Its ele...