Search Results for author:
Found 4 papers, 1 papers with code
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requirements in technical documentation.
From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design
Large language models have demonstrated impressive capabilities in enabling this shift.
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability
In these environments, transfer RL algorithms, which can be used for the transfer of knowledge from one or multiple source environments to a target environment, have been shown to increase learning speed and improve initial and asymptotic performance.
Representation Learning for Sequential Volumetric Design Tasks
We develop the preference model by estimating the density of the learned representations whereas we train an autoregressive transformer model for sequential design generation.
