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Paulo Oliveira

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Open access Sep 2026

A Tool-Augmented Agentic AI Pipeline for Reliable Circuit-Analysis Tutoring with Local Language Models

LLM-based systems used for tutoring can produce fluent and apparently plausible explanations, but they do not guarantee Technical Correctness, which is paramount in STEM fields such as Electrical Circuit Analysis. This study investigates how three LLM-based response systems—parametric model knowledge (Pure LLM), Retrie...

André Rocha, João Ferreira, Paulo C. Oliveira et al. · 0 citations
Open access Aug 2026

Lightweight Llama Models with Experts’ Curated RAG for Electrical Engineering Education: An Exploratory Comparison

The results show that the proposed RAG agent substantially improves the lightweight base model and produces transparent, syllabus-grounded answers that experts rated as correct and concise, while GPT-4.5 retains an edge on longer, multistep, and topology-intensive tasks.

André Rocha, Paulo C. Oliveira, João Ferreira et al. · 1 citation

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