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Wanqiu Long
Observed name:
Long, Wanqiu
Observed institutions:
Tianjin University,
University of Edinburgh
OpenAlex ID:
A5000467097
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations
2022
·
Wanqiu Long
, Bonnie Webber
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
16
PDF
TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks
2020
·
Wanqiu Long
, Bonnie Webber
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
11
PDF
Shallow Discourse Annotation for Chinese TED Talks
2020
·
Long, Wanqiu
, Cai, Xinyi
, et al.
·
arXiv (Cornell University)
·
7
PDF
Evaluating and Improving Graph to Text Generation with Large Language Models
2025
·
Jie He
, Yijun Yang
, et al.
·
Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)
·
5
PDF
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
2024
·
He, Jie
, Hu, Nan
, et al.
·
Research Explorer (The University of Manchester)
·
1
Leveraging Hierarchical Prototypes as the Verbalizer for Implicit Discourse Relation Recognition
2024
·
Long, Wanqiu
, Webber, Bonnie
·
arXiv (Cornell University)
·
1
PDF
Multi-Label Classification for Implicit Discourse Relation Recognition
2024
·
Wanqiu Long
, Siddharth N
, et al.
·
1
PDF
Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization
2022
·
Amr Keleg
, Matthias Lindemann
, et al.
·
1
PDF
PACEShop: Evaluating Personalized, Actionable, Compositional, and Evidence-grounded Shopping Assistants
2026
·
Lyu, Weimin
, Luo, Chen
, et al.
·
arXiv (Cornell University)
PDF
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
2026
·
Association for Computational Linguistics 2026
, Chen, Jiaoyan
, et al.
·
Underline Science Inc.
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
2026
·
Jie He
, Nan Hu
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
Evaluating and Improving Graph to Text Generation with Large Language Models
2025
·
He, Jie
, Yang, Yijun
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
44
H-index:
4
I10-index:
2
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