This article explores the impact of model scalability on the factuality of long texts, highlighting the improvement in accuracy and fact retrieval. It also analyzes how RLHF enhances factuality and compares model performance across various K values. Additionally, issues such as incorrect human annotations in the factuality evaluation process are discussed, and comprehensive comparison results among thirteen language models are provided.
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Effects of Model Scaling on Factuality in Long Texts.
This article explores the impact of model scalability on the factuality of long texts, highlighting the improvement in accuracy and fact retrieval. It also analyzes how RLHF enhances factuality and compares model performance across various K values. Additionally, it di
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