Anastasia Petrou

Prompt Complexity, Overprompting, and the Honesty of Error in LLM-Based Mechanical Drawing Interpretation: A Structured Empirical Evaluation

Large language models (LLMs) are increasingly used to interpret mechanical engineering drawings, yet the main risk is a wrong answer that reads as correct. We report an exploratory empirical study of how prompt design and evaluation shape the reliability of this interpretation, in two connected stages over the same twe...