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Your search keyword '"McAdams, Daniel"' showing total 9 results
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1. How good is ChatGPT? An exploratory study on ChatGPT's performance in engineering design tasks and subjective decision-making.

Author

Xu, Wanyu, Kotecha, Maulik Chhabilkumar, and McAdams, Daniel A.

Subjects
CHATGPT, EXPLORATORY factor analysis, ENGINEERING design, DECISION making, REALIZATION (Linguistics)
Abstract

This study explores how large language models like ChatGPT comprehend language and assess information. Through two experiments, we compare ChatGPT's performance with humans', addressing two key questions: 1) How does ChatGPT compare with human raters in evaluating judgment-based tasks like speculative technology realization? 2) How well does ChatGPT extract technical knowledge from non-technical content, such as mining speculative technologies from text, compared to humans? Results suggest ChatGPT's promise in knowledge extraction but also reveal a disparity with humans in decision-making. [ABSTRACT FROM AUTHOR]

Published
2024
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