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Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation


Jun 28, 2022
Jiaxin Huang, Yu Meng, Jiawei Han

* Accepted to KDD 2022 Research Track 

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Mitigating barren plateaus of variational quantum eigensolvers


May 26, 2022
Xia Liu, Geng Liu, Jiaxin Huang, Xin Wang

* 18 pages including appendix 

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All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass


May 22, 2022
Jiaxin Huang, Tianqi Liu, Jialu Liu, Adam D. Lelkes, Cong Yu, Jiawei Han


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Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations


Feb 09, 2022
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han

* WWW 2022. (Code: https://github.com/yumeng5/TopClus

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Generating Training Data with Language Models: Towards Zero-Shot Language Understanding


Feb 09, 2022
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

* Code: https://github.com/yumeng5/SuperGen 

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Fine-Grained Opinion Summarization with Minimal Supervision


Oct 17, 2021
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han


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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training


Sep 10, 2021
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han

* EMNLP 2021. (Code: https://github.com/yumeng5/RoSTER

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Few-Shot Named Entity Recognition: A Comprehensive Study


Dec 29, 2020
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han


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Text Classification Using Label Names Only: A Language Model Self-Training Approach


Oct 14, 2020
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han

* EMNLP 2020. (Code: https://github.com/yumeng5/LOTClass

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CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring


Oct 13, 2020
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han

* KDD 2020 Research Track 

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