large language models

Complete experimental record for Measuring Logical Inconsistency of Large Language Models over OWL Ontologies

Superseded by v4, which adds the full-context Phase 3 arm (paper Appendix C)

Automated Risk of Bias Assessment in Systematic Reviews Using Large Language Models: A Multi-Model Single-Agent Benchmark on 227 Randomised Controlled Trials

Code and data accompanying a benchmark of eleven large language models on zero-shot Cochrane Risk of Bias 1.0 assessment of 227 randomised controlled trials drawn from 123 Cochrane systematic reviews published in 2024. The deposit has two independent halves. The first is the assessment pipeline: a containerised web app...

When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination

Large language models are increasingly proposed as automated auditors of document quality, yet their reliability as detectors of planted errors is poorly characterised. We construct a contaminated corpus of 150 academic papers spanning supply chain management and medical research, injecting 450 known contaminants of th...

Leveraging prompt-driven generative AI for systematic reviews in digital psychiatry: A stage-matched comparative proof-of-concept for healthcare researchers and clinicians

The scale and pace of evidence generation in digital psychiatry increasingly exceed the capacity of traditional systematic literature review (SLR) methods. Large language models (LLMs) are gaining traction in evidence synthesis, yet limited guidance exists for integrating generative AI into transparent, reproducible SL...

Correlation Witnesses versus Magic: A k-Resolved Nonstabilizerness Map for SU(2)_k Anyon Fusion Spaces

Standard correlation witnesses — spatial Bell/CHSH inequalities, temporal Leggett–Garg K₃, and KCBS contextuality — are known to detect nonstabilizerness ("magic") in some settings. We report a worked example, a k-resolved nonstabilizerness map of the SU(2)_k anyon braid-representation family, in which a standard tempo...

Large Language Models on EDAIC: Supplementary Material.

This repository contains the code, question bank pipeline, and statistical analysis scripts used to evaluate the accuracy and explanation quality of three large language models (Claude Sonnet 5, GPT-5.6 Terra, and Gemini 3.5 Flash) on a True/False question bank spanning eleven topic areas relevant to anaesthesiology an...

GPT-4 improves sex-specificity in cardiovascular patient education but may perpetuate gender biases: A mixed-methods audit

Patient education materials for cardiovascular disease (CVD) prevention frequently omit clinically important differences in disease manifestation, risk, and prevention between sexes. Socially constructed gender norms further shape how health information is communicated and received. Large Language Models (LLMs) like GP...

Artifact of Live Noise Fingerprints as an Empirical Semantics for Noisy Quantum Channels

Abstract Quantum computations execute on noisy hardware whose effective noise is opaque and varies across platforms and over time. Complete descriptions of the underlying noise channel are often too detailed for reasoning, comparison, or analysis. We therefore study the semantic problem of constructing tractable abstra...

A collaborative agent with two lightweight synergistic models for autonomous crystal materials research

The Limit on Running Speed Is Not How Fast the Legs Move but How Hard the Ground Is Pushed ── As speed rises only the contact time shortens, and the duty factor falls from 0.6667 to 0.3714 ── Supporting the same body weight then takes a mean vertical force rising from 1.5 to 2.6923 times body weight ── The aerial time barely changes ── [Paper 380]

It is tempting to think one cannot run faster because the legs cannot turn over quickly enough. This paper asks which quantity reaches its limit first──the answer is the force applied to the ground. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and...

The Superhydrophobic State Is Metastable, Not Stable ── One surface holds two contact angles: at r=2.0 and f=0.30 they are 133.1602 and 143.3797 degrees ── The Young angle at which the two balance is 114.3157 degrees, and the actual 110 does not reach it ── The state that repels better is the one losing thermodynamically ── [Paper 376]

A superhydrophobic surface is described as one that repels water. This paper asks whether that state is stable──the answer is that under some conditions it is metastable, not stable. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is cl...

How Much You Remember Is Decided by How You Test ── One memory, one day later: 71.70 per cent by free recall and 91.07 per cent by savings in relearning ── The gap widens with time, reaching 3.2698 after a month ── And an exponential forgetting curve predicts 10^-13 at a month, breaking down ── [Paper 378]

A forgetting curve shows memory falling with time. This paper asks what quantity is falling──the answer is a different quantity for each way of testing, giving three answers one day later. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law...