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    Retrieving Causally Related Functions From Natural Language Text for Biomimetic Design 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 008:;page 81008
    Author(s): Cheong, Hyunmin; Shu, L. H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Identifying biological analogies is a significant challenge in biomimetic (biologically inspired) design. This paper builds on our previous work on finding biological phenomena in naturallanguage text. Specifically, a ...
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    Effects of Abstraction on Selecting Relevant Biological Phenomena for Biomimetic Design 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 011:;page 111111
    Author(s): Feng, Tao; Cheong, Hyunmin; Shu, L. H.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The naturallanguage approach to identifying biological analogies exploits the existing format of much biological knowledge, beyond databases created for biomimetic design. However, designers may need to select analogies ...
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    Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation 

    Source: Journal of Computing and Information Science in Engineering:;2025:;volume( 025 ):;issue: 002:;page 21012-1
    Author(s): Ataei, Mohammadmehdi; Cheong, Hyunmin; Grandi, Daniele; Wang, Ye; Morris, Nigel; Tessier, Alexander
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Requirement elicitation, a critical, yet time-consuming and challenging step in product development, often fails to capture the full spectrum of user needs. This may lead to products that fall short of user expectations. ...
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    DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 025 ):;issue: 002:;page 21009-1
    Author(s): Doris, Anna C.; Grandi, Daniele; Tomich, Ryan; Alam, Md Ferdous; Ataei, Mohammadmehdi; Cheong, Hyunmin; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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. Developed ...
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