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Evaluating Large Language Models
Exploring the evaluation of Large Language Models (LLMs) by assessing their performance on various tasks and measuring their confidence levels. Discussions include using confidence metrics, challenges with rating scales, incorporating feedback to adjust confidence scores, and experiments on providing feedback to LLMs based on answer accuracy.