German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset

arXiv:2403.03750v1 Announce Type: new
Abstract: The advent of Large Language Models (LLMs) has led to remarkable progress on a wide range of natural language processing tasks. Despite the advances, these large-sized models still suffer from hallucinating information in their output, which poses a major issue in automatic text summarization, as we must guarantee that the generated summary is consistent with the content of the source document. Previous research addresses the challenging task of detecting hallucinations in the output (i.e. inconsistency …

abstract advances arxiv cs.ai cs.cl dataset detection german information issue language language models language processing large language large language models llms major natural natural language natural language processing processing progress tasks text type