Testing LLM performance on the Physics GRE: some observations

December 07, 2023 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Pranav Gupta arXiv ID 2312.04613 Category physics.ed-ph Cross-listed cs.LG Citations 3 Venue arXiv.org Last Checked 1 month ago
Abstract
With the recent developments in large language models (LLMs) and their widespread availability through open source models and/or low-cost APIs, several exciting products and applications are emerging, many of which are in the field of STEM educational technology for K-12 and university students. There is a need to evaluate these powerful language models on several benchmarks, in order to understand their risks and limitations. In this short paper, we summarize and analyze the performance of Bard, a popular LLM-based conversational service made available by Google, on the standardized Physics GRE examination.
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