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Aracely Mera-Navarrete

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#large language models Open access Sep 2026

Corpus-level behavioral intensity in human–AI conversations

This study proposes a transparent rule-based framework for estimating persistence, delegation-related lexical patterns, and refinement-related lexical markers without inferring psychological dependence in conversational generative models.

Aracely Mera-Navarrete, Solange Revelo, Jefferson Beltrán-Morales et al. · Frontiers in Artificial Inte... · 0 citations

Open access Aug 2026

EduFairBench: reproducible evaluation of large language models for educational assessment

E EduFairBench provides a reproducible methodology for jointly analyzing predictive performance, robustness, uncertainty, and feedback quality, providing a comprehensive methodological framework for the rigorous evaluation of LLM-based educational assessment systems.

W. Villegas-Ch., Aracely Mera-Navarrete, Fernando Zúñiga-Tello et al. · Frontiers in Artificial Inte... · 0 citations