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2020 – today
- 2024
[j7]Jiawen Li
, Ronghui Li, Shiwen Ni, Hung-Yu Kao:
EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection. Neurocomputing 563: 126935 (2024)- [j6]Shiwen Ni, Hung-Yu Kao:
Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. IEEE Trans. Artif. Intell. 5(2): 624-633 (2024) - [j5]Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao:
DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 32: 364-373 (2024) - [c9]Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang:
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. ACL (1) 2024: 5716-5731 - [c8]Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang:
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. ACL (Findings) 2024: 7753-7774 - [c7]Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu:
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. ACL (1) 2024: 10028-10039 - [c6]Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu:
Layer-wise Regularized Dropout for Neural Language Models. LREC/COLING 2024: 10208-10218 - [c5]Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu:
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. LREC/COLING 2024: 11658-11668 - [i19]Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang:
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. CoRR abs/2401.15927 (2024) - [i18]Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang:
History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR abs/2402.06853 (2024) - [i17]Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu:
Layer-wise Regularized Dropout for Neural Language Models. CoRR abs/2402.16361 (2024) - [i16]Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan:
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. CoRR abs/2402.16389 (2024) - [i15]Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang:
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR abs/2403.18058 (2024) - [i14]Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu:
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. CoRR abs/2405.20978 (2024) - [i13]Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni:
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. CoRR abs/2406.05862 (2024) - [i12]Chengguang Gan, Qingyu Yin, Xinyang He, Hanjun Wei, Yunhao Liang, Younghun Lim, Shijian Wang, Hexiang Huang, Qinghao Zhang, Shiwen Ni, Tatsunori Mori:
MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models. CoRR abs/2407.10953 (2024) - [i11]Nan Xie, Yuelin Bai, Hengyuan Gao, Feiteng Fang, Qixuan Zhao, Zhijian Li, Ziqiang Xue, Liang Zhu, Shiwen Ni, Min Yang:
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model. CoRR abs/2408.00357 (2024) - [i10]Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Shiwen Ni, Min Yang:
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. CoRR abs/2408.08089 (2024) - [i9]Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Ruifeng Xu, Min Yang, Chengming Li:
Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused. CoRR abs/2408.08769 (2024) - [i8]Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang:
Training on the Benchmark Is Not All You Need. CoRR abs/2409.01790 (2024) - [i7]King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shawn Gavin, Tuney Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Zachary Liu, Xiang Yue, J. H. Liu, Chenghua Lin, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang:
LIME: Less Is More for MLLM Evaluation. CoRR abs/2409.06851 (2024) - 2023
- [j4]Shiwen Ni, Hung-Yu Kao:
KPT++: Refined knowledgeable prompt tuning for few-shot text classification. Knowl. Based Syst. 274: 110647 (2023) - [i6]Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang:
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. CoRR abs/2311.08011 (2023) - 2022
- [j3]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media. Sensors 22(17): 6652 (2022) - [c4]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
R-AT: Regularized Adversarial Training for Natural Language Understanding. EMNLP (Findings) 2022: 6427-6440 - [i5]Shiwen Ni, Hung-Yu Kao:
ELECTRA is a Zero-Shot Learner, Too. CoRR abs/2207.08141 (2022) - 2021
- [j2]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media. IEEE Access 9: 106907-106917 (2021) - [c3]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. ACL/IJCNLP (Findings) 2021: 705-715 - [c2]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? TAAI 2021: 119-124 - [i4]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. CoRR abs/2107.10747 (2021) - [i3]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. CoRR abs/2108.12805 (2021) - [i2]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Social Media with Hierarchical Adversarial Training. CoRR abs/2110.00425 (2021) - [i1]Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? CoRR abs/2112.00245 (2021) - 2020
- [j1]Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection. IEEE Access 8: 212865-212875 (2020) - [c1]Shiwen Ni, Hung-Yu Kao:
PSForest: Improving Deep Forest via Feature Pooling and Error Screening. ACML 2020: 769-781
Coauthor Index
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