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Saturday April 11, 2026 12:15pm - 2:15pm GMT+07

Authors - Neha Aggarwal, Rajiv Singh, Swati Nigam
Abstract - One advantage of using Large Language Models (LLMs) is the automation of tasks and the analysis of information. Engineering drawings, on the other hand, are standardized representations of products; they document their dimensions and geometries. Users can utilize them for manufacturing parts, assembly guides, and engineering analysis, among other uses. This article aims to 1) evaluate whether an LLM is capable of interpreting engineering drawings, 2) identify how it interprets them, as it may use a standard on which the generation of these drawings or the interpretation of images is based, and 3) determine if users as students can employ LLMs as a guide to interpret drawings. The results showed that the user requesting an interpretation of an engineering drawing must be familiar with the field, as the LLM sometimes fails to extract the correct in-formation from a drawing; furthermore, any detail in the drawing can confuse the LLM. Once the LLM extracts the correct information from the drawing, it can use it to generate CNC code to machine a part, predict its behavior using a neural network, or perform engineering analysis, to name just a few examples.
Paper Presenter
Saturday April 11, 2026 12:15pm - 2:15pm GMT+07
Virtual Room D Bangkok, Thailand

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