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2020 – today
- 2024
[i6]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024)- [i5]Kangda Wei, Aayush Gautam, Ruihong Huang:
Are LLMs Good Annotators for Discourse-level Event Relation Extraction? CoRR abs/2407.19568 (2024) - [i4]Hasnat Md Abdullah, Tian Liu, Kangda Wei, Shu Kong, Ruihong Huang:
UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark. CoRR abs/2410.01180 (2024) - 2023
- [c2]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? EMNLP 2023: 3599-3606 - [c1]Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. EMNLP (Findings) 2023: 7068-7088 - [i3]Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. CoRR abs/2311.07538 (2023) - 2022
- [i2]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? CoRR abs/2212.10019 (2022) - 2020
- [i1]Songhe Wang, Kangda Wei, Lei Lin, Weizi Li:
Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States. CoRR abs/2010.03707 (2020)
Coauthor Index
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