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arXiv · 2403.04771

QASE Enhanced PLMs: Improved Control in Text Generation for MRC

Lin Ai·Zheng Hui·Zizhou Liu·Julia Hirschberg
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Abstract

To address the challenges of out-of-control generation in generative models for machine reading comprehension (MRC), we introduce the Question-Attended Span Extraction (QASE) module. Integrated during the fine-tuning of pre-trained generative language models (PLMs), QASE enables these PLMs to match SOTA extractive methods and outperform leading LLMs like GPT-4 in MRC tasks, without significant increases in computational costs.

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Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg. 2024-02-26. QASE Enhanced PLMs: Improved Control in Text Generation for MRC. https://arxiv.org/abs/2403.04771

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