2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
EMNLP 2024main
Having been trained on massive pretraining data, large language models have shown excellent performance on many knowledge-intensive tasks. However, pretraining data tends to contain misleading and even conflicting information, and it is intriguing to understand how LLMs handle these noisy data durin…