large language models

Can We Really Leverage AI-Assisted Automatic Item Generation for Psychological Scale Development?

With the emergence of large language models (LLMs), researchers can use chatbots such as ChatGPT to rapidly generate large numbers of items for psychological scale development. This study examines the quality of AI-generated items. Across four preregistered studies, we compared AI-generated items with human-generated b...

From Self-Protection to Experiential Engagement: A State-Dependent Autonomic Model of Psychotherapy Process

This conceptual and clinical article introduces the State-Dependent Autonomic Response Model (SDARM), a transtheoretical framework for understanding moment-to-moment client responses during psychotherapy. The model addresses a common clinical challenge: as clients approach painful emotions, attachment injuries, traumat...

Large Language Models and the Personalization into Sameness

Evaluating Large Language Models for Antisemitic Incident Classification

Addressing hate and violence in society requires timely detection of hateful events from public reporting, but automated identification of hateful events remains underexplored. We introduce the task of hateful event detection and investigate the ability of AI systems, specifically large language models (LLMs), to disco...

Quantitative Analysis Data for SCAR Mentions by the ATCMs Including Climate Change Advice

This is the data from two Large Language Model analyses of the mentions of SCAR in Antarctic Treaty Consultative Meeting Reports, either overall or from a climate change advice perspective published by Chown et al. 2026 in Philosophical Transactions of the Royal Society A. The data are subject to analyses in R to deter...

Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance

An explicit exponential-period representation of the V_quad connection coefficient

Correction notice (v1.3). This version withdraws a claim. Through v1.2 the Discussion stated that this paper “completes part (ii)(a) for d=2” of the master conjecture of the Sakai stratification (10.5281/zenodo.20694840). Part (ii)(a) concerns the Edge–Borel coefficient, a different object from the connection coefficie...

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination

Turing-Computability Excludes Phenomenal Consciousness: A Derivation from the NEMS No-Emulation and SIAM Theorems, with Implications for Large Language Models

Derived from two machine-checked theorems in the NEMS (No External Model Selection) framework, we show that no Turing-computable system can satisfy the structural conditions for phenomenal consciousness; large language models are a special case. The argument uses diagonal-capability of the physical universe (weaker tha...

LLM-guided headline rewriting for clickability enhancement without clickbait

Optimizing news headlines for reader engagement is often conflated with clickbait, producing exaggerated or misleading phrasing that erodes editorial trust. We reframe clickbait not as a separate category but as the disproportionate amplification of otherwise legitimate engagement cues, and cast headline rewriting as a...

An explicit coefficient-module proof of Conjecture 3.4(a) in Au's Wilf-Zeilberger seeds paper

K. C. Au, Discovering hypergeometric series with harmonic numbers via Wilf-Zeilberger seeds, arXiv:2602.08721v3, conjectures in Conjecture 3.4(a) that the first summand S1(a,b,c,d,e;n) of Example II has coefficient spaces VN(S1) (the Q-span of the sequences n ↦ [ai1···ei5]S1 with total degree N) whose dimensions have g...

Webis-SR4ALL-26: A cross-disciplinary corpus of systematic reviews

Overview Webis-SR4ALL-26 is a large-scale corpus of 301,871 systematic reviews spanning 27 scientific disciplines. The corpus is derived from OpenAlex and enriched with structured methodological information extracted from full texts where available. The dataset is designed to support research on systematic review retri...