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Benfeng Xu
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2020 – today
- 2024
- [j2]Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao:
Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. IEEE Signal Process. Lett. 31: 2650-2654 (2024) - [c12]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. AAAI 2024: 17808-17816 - [c11]Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao:
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. ACL (1) 2024: 15187-15201 - [c10]Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao:
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. SemEval@NAACL 2024: 1511-1522 - [i9]Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. CoRR abs/2401.00690 (2024) - 2023
- [c9]Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao:
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. ACL (1) 2023: 8186-8207 - [c8]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. EMNLP (Findings) 2023: 9778-9795 - [c7]Xin Zeng, Yiqiang Chen, Benfeng Xu, Tengxiang Zhang:
Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition. ICASSP 2023: 1-5 - [c6]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. ICLR 2023 - [c5]Benfeng Xu, Chunxu Zhao, Wenbin Jiang, Pengfei Zhu, Songtai Dai, Chao Pang, Zhuo Sun, Shuohuan Wang, Yu Sun:
Retrieval-Augmented Domain Adaptation of Language Models. RepL4NLP@ACL 2023: 54-64 - [i8]Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang:
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. CoRR abs/2303.13824 (2023) - [i7]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i6]Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i5]Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou:
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR abs/2311.08182 (2023) - [i4]Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao:
On the Calibration of Large Language Models and Alignment. CoRR abs/2311.13240 (2023) - 2022
- [c4]Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie:
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. EMNLP 2022: 7087-7099 - [c3]Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao:
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. NAACL-HLT 2022: 659-665 - [i3]Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie:
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. CoRR abs/2211.09039 (2022) - 2021
- [j1]Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang:
Review and Arrange: Curriculum Learning for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3307-3320 (2021) - [c2]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. AAAI 2021: 14149-14157 - [i2]Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. CoRR abs/2102.10249 (2021) - [i1]Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang:
Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. CoRR abs/2110.07244 (2021) - 2020
- [c1]Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang:
Curriculum Learning for Natural Language Understanding. ACL 2020: 6095-6104
Coauthor Index
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