MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering

N Gu, Y Gao, RHR Hahnloser - arXiv preprint arXiv:2310.06436, 2023 - arxiv.org
We introduce MemSum-DQA, an efficient system for document question answering (DQA)
that leverages MemSum, a long document extractive summarizer. By prefixing each text …

Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering

H Du, H Zhang, D Zhao - arXiv preprint arXiv:2408.15037, 2024 - arxiv.org
To address the hallucination in generative question answering (GQA) where the answer can
not be derived from the document, we propose a novel evidence-enhanced triplet …

Multi-view Content-aware Indexing for Long Document Retrieval

K Dong, DGX Deik, YQ Lee, H Zhang, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Long document question answering (DocQA) aims to answer questions from long
documents over 10k words. They usually contain content structures such as sections, sub …