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20222025
most citedTowards Improving Faithfulness in Abstractive Summarization

14 citations · 14 across the 5 of their papers we have counts for

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cs.CL2025

SenWave: A Fine-Grained Multi-Language Sentiment Analysis Dataset Sourced from COVID-19 Tweets

Qiang Yang, Xiuying Chen, Changsheng Ma +3

The global impact of the COVID-19 pandemic has highlighted the need for a comprehensive understanding of public sentiment and reactions. Despite the availability of numerous public…

cs.CL2024

Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization

Xiuying Chen, Shen Gao, Mingzhe Li +3

Nowadays, neural text generation has made tremendous progress in abstractive summarization tasks. However, most of the existing summarization models take in the whole document all…

cs.CL2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs

Xiuying Chen, Mingzhe Li, Shen Gao +3

In a citation graph, adjacent paper nodes share related scientific terms and topics. The graph thus conveys unique structure information of document-level relatedness that can be u…

cs.CL202214 cited

Towards Improving Faithfulness in Abstractive Summarization

Xiuying Chen, Mingzhe Li, Xin Gao +1

Despite the success achieved in neural abstractive summarization based on pre-trained language models, one unresolved issue is that the generated summaries are not always faithful…

cs.CL2022

Target-aware Abstractive Related Work Generation with Contrastive Learning

Xiuying Chen, Hind Alamro, Mingzhe Li +4

The related work section is an important component of a scientific paper, which highlights the contribution of the target paper in the context of the reference papers. Authors can…