A LangChain plus GPT-4o retrieval pipeline with chain-of-thought prompting is claimed to beat GPT-4o on two QA benchmarks, but the headline numbers are inconsistent with the stated dataset size.
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
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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cs.HC 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
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Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach
A LangChain plus GPT-4o retrieval pipeline with chain-of-thought prompting is claimed to beat GPT-4o on two QA benchmarks, but the headline numbers are inconsistent with the stated dataset size.