GPTEval: A Survey on Assessments of ChatGPT and GPT-4

24 Aug 2023 · Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria ·

The emergence of ChatGPT has generated much speculation in the press about its potential to disrupt social and economic systems. Its astonishing language ability has aroused strong curiosity among scholars about its performance in different domains. There have been many studies evaluating the ability of ChatGPT and GPT-4 in different tasks and disciplines. However, a comprehensive review summarizing the collective assessment findings is lacking. The objective of this survey is to thoroughly analyze prior assessments of ChatGPT and GPT-4, focusing on its language and reasoning abilities, scientific knowledge, and ethical considerations. Furthermore, an examination of the existing evaluation methods is conducted, offering several recommendations for future research in evaluating large language models.

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Absolute Position Encodings • Adam • BPE • Dense Connections • Dropout • GPT-4 • Label Smoothing • Layer Normalization • Linear Layer • Multi-Head Attention • Position-Wise Feed-Forward Layer • Residual Connection • Scaled Dot-Product Attention • Softmax • Transformer

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GPTEval: A Survey on Assessments of ChatGPT and GPT-4

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