Shiwen Ni

According to our database, Shiwen Ni authored at least 34 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding.

Shiwen Ni, Hung-Yu Kao

IEEE Trans. Artif. Intell., February, 2024

EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection.

Jiawen Li, Ronghui Li, Shiwen Ni, Hung-Yu Kao

Neurocomputing, January, 2024

DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding.

Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering.

Shiwen Ni, Hao Cheng, Min Yang

CoRR, 2024

Small Language Model as Data Prospector for Large Language Model.

Shiwen Ni, Haihong Wu, Di Yang, Qiang Qu, Hamid Alinejad-Rokny, Min Yang

CoRR, 2024

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation.

Qiyao Wang, Shiwen Ni, Huaren Liu, Shule Lu, Guhong Chen, Xi Feng, Chi Wei, Qiang Qu, Hamid Alinejad-Rokny, Yuan Lin, Min Yang

CoRR, 2024

Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration.

Shiwen Ni, Min Yang

CoRR, 2024

Can MLLMs Understand the Deep Implication Behind Chinese Images?

Chenhao Zhang, Xi Feng, Yuelin Bai, Xinrun Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni

CoRR, 2024

LIME: Less Is More for MLLM Evaluation.

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

CoRR, 2024

Training on the Benchmark Is Not All You Need.

Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang

CoRR, 2024

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused.

Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Ruifeng Xu, Min Yang, Chengming Li

CoRR, 2024

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.

Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Shiwen Ni, Min Yang

CoRR, 2024

MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models.

Chengguang Gan, Qingyu Yin, Xinyang He, Hanjun Wei, Yunhao Liang, Younghun Lim, Shijian Wang, Hexiang Huang, Qinghao Zhang, Shiwen Ni, Tatsunori Mori

CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

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

CoRR, 2024

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

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

CoRR, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan

CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.

Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang

CoRR, 2024

Layer-wise Regularized Dropout for Neural Language Models.

Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model.

Nan Xie, Yuelin Bai, Hengyuan Gao, Ziqiang Xue, Feiteng Fang, Qixuan Zhao, Zhijian Li, Liang Zhu, Shiwen Ni, Min Yang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models.

Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.

Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

KPT++: Refined knowledgeable prompt tuning for few-shot text classification.

Shiwen Ni, Hung-Yu Kao

Knowl. Based Syst., 2023

2022

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Sensors, 2022

ELECTRA is a Zero-Shot Learner, Too.

Shiwen Ni, Hung-Yu Kao

CoRR, 2022

R-AT: Regularized Adversarial Training for Natural Language Understanding.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Rumor Detection on Social Media with Hierarchical Adversarial Training.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

CoRR, 2021

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

CoRR, 2021

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media.

Shiwen Ni, Jiawen Li, Hung-Yu Kao

IEEE Access, 2021

True or False: Does the Deep Learning Model Learn to Detect Rumors?

Shiwen Ni, Jiawen Li, Hung-Yu Kao

Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection.

Jiawen Li, Shiwen Ni, Hung-Yu Kao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection.

Jiawen Li, Shiwen Ni, Hung-Yu Kao

IEEE Access, 2020

PSForest: Improving Deep Forest via Feature Pooling and Error Screening.

Shiwen Ni, Hung-Yu Kao

Proceedings of The 12th Asian Conference on Machine Learning, 2020