Zekun Yao

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization

Despite the recent progress in news summarization made by large language models (LLMs), they often generate summaries that are factually inconsistent with original articles, known as “hallucinations” in text generation. Unlike previous small models (e.g., BART, T5), current LLMs make fewer silly mis…