Haopeng Zhang

Affiliations:
  • University of Hawaii, Manoa, HI, USA
  • University of California Davis, IFM Lab, CA, USA (former)
  • Florida State University, IFM Lab, Tallahassee, FL, USA (former)


According to our database1, Haopeng Zhang authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Building Intelligent and Reliable Summarization Systems
PhD thesis, 2024

A Structure-aware Generative Model for Biomedical Event Extraction.
CoRR, 2024

Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval.
CoRR, 2024

A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models.
CoRR, 2024

Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT.
CoRR, 2023

Contrastive Hierarchical Discourse Graph for Scientific Document Summarization.
CoRR, 2023

Unsupervised Multi-document Summarization with Holistic Inference.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

SummIt: Iterative Text Summarization via ChatGPT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Extractive Summarization via ChatGPT for Faithful Summary Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

HEGEL: Hypergraph Transformer for Long Document Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations.
CoRR, 2020

Text Graph Transformer for Document Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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