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Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science
2026 · 0 citations
Commercial large language models are increasingly used as knowledge references, yet their stance on contested scientific claims is neither stable nor transparent. We tested how four major LLM families (Claude, Grok, GPT, Gemini) evaluate ethnonationalist pseudo-science derived from Frank Salter's biosocial framework across four temporal snapshots (October 2025-February 2026), via both API and web interfaces. Grok's Fast versions (which power the default user experience on X) consistently assigne…
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
2021 · 8715 citations
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) was published (Hair, Hult, Ringle, & Sarstedt
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LLMs for Defect Prediction in Evolving Datasets: Emerging Results and Future Directions
2025 · 3 citations
Software evolves rapidly, making it challenging for defect prediction models to remain effective without frequent retraining. While the Large Language Models (LLMs) have been widely used in SE tasks, their application to evolving datasets for quality assurance, particularly defect prediction, remains under-explored. This study investigates the use of dynamic fine-tuning techniques to enable LLMs to predict defective modules in the face of codebase evolution. We begin our study by curating datase…
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