This section delves into the impact of model scalability on the factuality of long text, highlighting improvements in accuracy and fact retrieval. We also explore how RLHF enhances factuality and compare model performance across various K values. Additionally, we discuss topics such as incorrect human annotations in the factual evaluation process and provide comprehensive benchmarking results across thirteen language models.
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