Exploring the features used for summary evaluation by Human and GPT
Analysis
This article, sourced from ArXiv, focuses on the comparison of features used by humans and GPT models when evaluating summaries. The research likely investigates the similarities and differences in how these two entities assess the quality of a summary, potentially identifying biases or areas for improvement in automated evaluation methods.
Key Takeaways
Reference
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