Generative PLMs can be enhanced with the lightweight QASE module to improve text generation quality and factual consistency in MRC tasks.
The author introduces the Question-Attended Span Extraction (QASE) module to enhance generative language models for Machine Reading Comprehension (MRC), improving answer quality and factual consistency, surpassing leading LLMs like GPT-4.