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Found 2 papers, 1 papers with code
Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation
Second, we show how our framework effectively mimics empathic lead user interviews, identifying a greater number of latent needs than conventional human interviews.
UV-Net: Learning from Boundary Representations
We introduce UV-Net, a novel neural network architecture and representation designed to operate directly on Boundary representation (B-rep) data from 3D CAD models.
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