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ORCIDHai Hu 0001
Person information
- affiliation: City University of Hong Kong, Hong Kong, SAR, China
- affiliation (former): Shanghai Jiao Tong University, Shanghai, China
- affiliation (former): Indiana University Bloomington, USA
- unicode name: 胡海
Other persons with the same name
- Hai Hu — disambiguation page
- Hai Hu 0002
![[0000-0001-5345-8371]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5345-8371")
— Windber Research Institute, Windber, PA, USA - Hai Hu 0003 — Shanghai Jiao Tong University Affiliated Sixth People's Hospital, China
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2020 – today
- 2025
[i17]Yikang Liu, Wanyang Zhang, Yiming Wang, Jialong Tang, Pei Zhang, Baosong Yang, Fei Huang, Rui Wang, Hai Hu:
Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese. CoRR abs/2507.12260 (2025)- [i16]Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo:
EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems. CoRR abs/2507.15015 (2025) - [i15]Valeria de Paiva, Qiyue Gao, Hai Hu, Pavel Kovalev, Yikang Liu, Lawrence S. Moss, Zhiheng Qian:
Math Natural Language Inference: this should be easy! CoRR abs/2507.23063 (2025) - 2024
- [c13]Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu:
MELA: Multilingual Evaluation of Linguistic Acceptability. ACL (1) 2024: 2658-2674 - [c12]Shisen Yue, Siyuan Song, Xinyuan Cheng, Hai Hu:
Do Large Language Models Understand Conversational Implicature - A Case Study with a Chinese Sitcom. CCL 2024: 402-418 - [c11]Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin:
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. EMNLP (Findings) 2024: 4514-4530 - [i14]Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin:
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. CoRR abs/2401.05930 (2024) - [i13]Shisen Yue, Siyuan Song, Xinyuan Cheng, Hai Hu:
Do Large Language Models Understand Conversational Implicature - A case study with a chinese sitcom. CoRR abs/2404.19509 (2024) - [i12]Yikang Liu, Yeting Shen, Hongao Zhu, Lilong Xu, Zhiheng Qian, Siyuan Song, Kejia Zhang, Jialong Tang, Pei Zhang, Baosong Yang, Rui Wang, Hai Hu:
ZhoBLiMP: a Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese. CoRR abs/2411.06096 (2024) - [i11]Xinmeng Hou, Lingyue Fu, Chenhao Meng, Hai Hu:
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction. CoRR abs/2412.00208 (2024) - 2023
- [j3]Aikaterini-Lida Kalouli, Hai Hu, Alexander F. Webb, Lawrence S. Moss, Valeria de Paiva:
Curing the SICK and Other NLI Maladies. Comput. Linguistics 49(1): 199-243 (2023) - [i10]Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu:
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models. CoRR abs/2304.07666 (2023) - [i9]Hai Hu, Ziyin Zhang, Weifang Huang, Jackie Yan-Ki Lai, Aini Li, Yina Ma, Jiahui Huang, Peng Zhang, Rui Wang:
Revisiting Acceptability Judgements. CoRR abs/2305.14091 (2023) - [i8]Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu:
MELA: Multilingual Evaluation of Linguistic Acceptability. CoRR abs/2311.09033 (2023) - 2022
- [j2]Hai Hu, Patrícia Amaral, Sandra Kübler:
Word embeddings and semantic shifts in historical Spanish: Methodological considerations. Digit. Scholarsh. Humanit. 37(2): 441-461 (2022) - 2021
- [j1]Hai Hu, Sandra Kübler:
Investigating translated Chinese and its variants using machine learning. Nat. Lang. Eng. 27(3): 339-372 (2021) - [c10]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. ACL/IJCNLP (Findings) 2021: 3770-3785 - [c9]Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Hu Yuan, Huilin Xu, Guoao Wei, Xiang Pan, Junyi Li, Jianlin Su, Zhenyu Yang, Renfen Hu, Hai Hu:
Few-Shot Learning for Chinese NLP Tasks. NLPCC (2) 2021: 412-421 - [i7]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. CoRR abs/2106.03983 (2021) - [i6]Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Hu Yuan, Huilin Xu, Guoao Wei, Xiang Pan, Hai Hu:
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark. CoRR abs/2107.07498 (2021) - 2020
- [c8]Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. AAAI 2020: 8713-8721 - [c7]Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING 2020: 4762-4772 - [c6]Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kübler, Lawrence S. Moss:
OCNLI: Original Chinese Natural Language Inference. EMNLP (Findings) 2020: 3512-3526 - [c5]Junyi Li, Hai Hu, Xuanwei Zhang, Minglei Li, Lu Li, Liang Xu:
Light Pre-Trained Chinese Language Model for NLP Tasks. NLPCC (2) 2020: 567-578 - [c4]Hai Hu, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Sandra Kübler, Chien-Jer Charles Lin:
Building a Treebank for Chinese Literature for Translation Studies. TLT 2020: 18-30 - [i5]Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan:
CLUE: A Chinese Language Understanding Evaluation Benchmark. CoRR abs/2004.05986 (2020) - [i4]Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kübler, Lawrence S. Moss:
OCNLI: Original Chinese Natural Language Inference. CoRR abs/2010.05444 (2020)
2010 – 2019
- 2019
- [c3]Hai Hu, Qi Chen, Larry Moss:
Natural Language Inference with Monotonicity. IWCS (2) 2019: 8-15 - [i3]Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. CoRR abs/1909.07521 (2019) - [i2]Hai Hu, Qi Chen, Kyle Richardson, Atreyee Mukherjee, Lawrence S. Moss, Sandra Kübler:
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity. CoRR abs/1910.08772 (2019) - 2018
- [c2]Hai Hu, Larry Moss:
Polarity Computations in Flexible Categorial Grammar. *SEM@NAACL-HLT 2018: 124-129 - [i1]Hai Hu, Wen Li, Sandra Kübler:
Detecting Syntactic Features of Translated Chinese. CoRR abs/1804.08756 (2018) - 2017
- [c1]Hai Hu, Daniel Dakota, Sandra Kübler:
Non-Deterministic Segmentation for Chinese Lattice Parsing. RANLP 2017: 316-324
Coauthor Index
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