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Hanwen Zha
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Conference and Workshop Papers
- 2024
- [c10]Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL-HLT 2024: 311-325 - [c9]Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Scott Yih, Xin Dong:
CRAG - Comprehensive RAG Benchmark. NeurIPS 2024 - 2022
- [c8]Hanwen Zha, Zhiyu Chen, Xifeng Yan:
Inductive Relation Prediction by BERT. AAAI 2022: 5923-5931 - 2020
- [c7]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. EMNLP (Findings) 2020: 1026-1036 - [c6]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. EMNLP (Findings) 2020: 2096-2111 - 2019
- [c5]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. ACL (1) 2019: 1324-1330 - [c4]Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, Xifeng Yan:
HierCon: Hierarchical Organization of Technical Documents Based on Concepts. ICDM 2019: 379-388 - [c3]Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan:
Mining Algorithm Roadmap in Scientific Publications. KDD 2019: 1083-1092 - 2018
- [c2]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Concept Mining via Embedding. ICDM 2018: 267-276 - [c1]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Unsupervised Neural Categorization for Scientific Publications. SDM 2018: 37-45
Informal and Other Publications
- 2024
- [i7]Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong:
CRAG - Comprehensive RAG Benchmark. CoRR abs/2406.04744 (2024) - 2023
- [i6]Xiao Yang, Ahmed K. Mohamed, Shashank Jain, Stanislav Peshterliev, Debojeet Chatterjee, Hanwen Zha, Nikita Bhalla, Gagan Aneja, Pranab Mohanty:
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite. CoRR abs/2306.07499 (2023) - [i5]Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs? CoRR abs/2308.10168 (2023) - 2021
- [i4]Hanwen Zha, Zhiyu Chen, Xifeng Yan:
Inductive Relation Prediction by BERT. CoRR abs/2103.07102 (2021) - 2020
- [i3]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. CoRR abs/2004.07347 (2020) - [i2]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. CoRR abs/2004.14579 (2020) - 2019
- [i1]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. CoRR abs/1906.00550 (2019)
Coauthor Index
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