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20202026
most citedGraph-Bert: Only Attention is Needed for Learning Graph Representations

158 citations · 181 across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 1 cited

A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT

Zizhong Li, Haopeng Zhang, Jiawei Zhang

The proliferation of fake news has emerged as a critical issue in recent years, requiring significant efforts to detect it. However, the existing fake news detection datasets are s…

cs.CL2023★ 1 cited

Unsupervised Multi-document Summarization with Holistic Inference

Haopeng Zhang, Sangwoo Cho, Kaiqiang Song +4

Multi-document summarization aims to obtain core information from a collection of documents written on the same topic. This paper proposes a new holistic framework for unsupervised…

cs.CL2023★ 2 cited

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates

Haopeng Zhang, Hayate Iso, Sairam Gurajada +1

Text editing is a crucial task of modifying text to better align with user intents. However, existing text editing benchmark datasets contain only coarse-grained instructions and l…

cs.CL2023

Contrastive Hierarchical Discourse Graph for Scientific Document Summarization

Haopeng Zhang, Xiao Liu, Jiawei Zhang

The extended structural context has made scientific paper summarization a challenging task. This paper proposes CHANGES, a contrastive hierarchical graph neural network for extract…

cs.CL2023★ 3 cited

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Extractive summarization aims to form a summary by directly extracting sentences from the source document. Existing works mostly formulate it as a sequence labeling problem by maki…

cs.CL2023★ 1 cited

SummIt: Iterative Text Summarization via ChatGPT

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step. However, the one-shot summarization setting is somet…

cs.CL2023★ 3 cited

Extractive Summarization via ChatGPT for Faithful Summary Generation

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Extractive summarization is a crucial task in natural language processing that aims to condense long documents into shorter versions by directly extracting sentences. The recent in…