PSForest: Improving Deep Forest via Feature Pooling and Error Screening. - Shiwen Ni; Hung-Yu Kao (ACML, 2020)

Birds of a Feather Rumor Together? Exploring Homogeneity and Conversation Structure in Social Media for Rumor Detection. - Jiawen Li 003; Shiwen Ni; Hung-Yu Kao (IEEE Access, 2020)

Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. - Jiawen Li 003; Shiwen Ni; Hung-Yu Kao (ACL/IJCNLP (Findings), 2021)

True or False: Does the Deep Learning Model Learn to Detect Rumors? - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (TAAI, 2021)

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media. - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (IEEE Access, 2021)

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (CoRR, 2021)

Rumor Detection on Social Media with Hierarchical Adversarial Training. - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (CoRR, 2021)

R-AT: Regularized Adversarial Training for Natural Language Understanding. - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (EMNLP (Findings), 2022)

ELECTRA is a Zero-Shot Learner, Too. - Shiwen Ni; Hung-Yu Kao (CoRR, 2022)

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media. - Shiwen Ni; Jiawen Li 003; Hung-Yu Kao (Sensors, 2022)

KPT++: Refined knowledgeable prompt tuning for few-shot text classification. - Shiwen Ni; Hung-Yu Kao (Knowl. Based Syst., 2023)

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. - Feiteng Fang; Yuelin Bai; Shiwen Ni; Min Yang 007; Xiaojun Chen 006; Ruifeng Xu 001 (ACL (1), 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 001; Shiwen Ni; Min Yang 007 (ACL (Findings), 2024)

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. - Shiwen Ni; Dingwei Chen; Chengming Li; Xiping Hu; Ruifeng Xu 001; Min Yang 007 (ACL (1), 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 007 (CIKM, 2024)

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. - Shiwen Ni; Minghuan Tan; Yuelin Bai; Fuqiang Niu; Min Yang 007; Bowen Zhang 005; Ruifeng Xu 001; Xiaojun Chen 006; Chengming Li; Xiping Hu (LREC/COLING, 2024)

Layer-wise Regularized Dropout for Neural Language Models. - Shiwen Ni; Min Yang 007; Ruifeng Xu 001; Chengming Li; Xiping Hu (LREC/COLING, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xeron Du; Chenhao Zhang 005; Noah Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (NeurIPS, 2024)

Educational-Psychological Dialogue Robot Based on Multi-agent Collaboration. - Shiwen Ni; Min Yang 007 (ICSR + InnoBiz, 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 001; Min Yang 007; Wenbin Zhang 002 (CoRR, 2024)

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. - Shiwen Ni; Minghuan Tan; Yuelin Bai; Fuqiang Niu; Min Yang 007; Bowen Zhang 005; Ruifeng Xu 001; Xiaojun Chen 006; Chengming Li; Xiping Hu; Ye Li 002; Jianping Fan 002 (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; et al. (CoRR, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xinrun Du; Chenhao Zhang 005; Zekun Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (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)

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 007 (CoRR, 2024)

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused. - Dingwei Chen; Feiteng Fang; Shiwen Ni; Feng Liang 004; Ruifeng Xu 001; Min Yang 007; Chengming Li (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; et al. (CoRR, 2024)

Can MLLMs Understand the Deep Implication Behind Chinese Images? - Chenhao Zhang 005; Xi Feng; Yuelin Bai; Xinrun Du; Jinchang Hou; Kaixin Deng; Guangzeng Han; Qinrui Li; Bingli Wang; Jiaheng Liu; Xingwei Qu; Yifei Zhang; et al. (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 007 (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 007 (CoRR, 2024)

DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding. - Shiwen Ni; Jiawen Li 003; Min Yang 007; Hung-Yu Kao (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection. - Jiawen Li 003; Ronghui Li; Shiwen Ni; Hung-Yu Kao (Neurocomputing, 2024)

Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. - Shiwen Ni; Hung-Yu Kao (IEEE Trans. Artif. Intell., 2024)

Training on the Benchmark Is Not All You Need. - Shiwen Ni; Xiangtao Kong; Chengming Li; Xiping Hu; Ruifeng Xu 001; Jia Zhu 003; Min Yang 007 (AAAI, 2025)

Can MLLMs Understand the Deep Implication Behind Chinese Images? - Chenhao Zhang 005; Xi Feng; Yuelin Bai; Xeron Du; Jinchang Hou; Kaixin Deng; Guangzeng Han; Qinrui Li; Bingli Wang; Jiaheng Liu; Xingwei Qu; Yifei Zhang; et al. (ACL (1), 2025)

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents. - Guhong Chen; Liyang Fan; Zihan Gong; Nan Xie; Zixuan Li; Ziqiang Liu; Chengming Li; Qiang Qu; Hamid Alinejad-Rokny; Shiwen Ni; Min Yang 007 (ACL (Findings), 2025)

Quantification of Large Language Model Distillation. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xeron Du; Sirui He; Haihong Wu; Tianci Liu 011; Jiaheng Liu; Hamid Alinejad-Rokny; Min Yang 007; Yitao Liang; et al. (ACL (1), 2025)

LIME: Less Is More for MLLM Evaluation. - King Zhu; Qianbo Zang; Shian Jia; Siwei Wu; Feiteng Fang; Yizhi Li; Shuyue Guo; Tianyu Zheng; Jiawei Guo; Bo Li; Haoning Wu; Xingwei Qu; et al. (ACL (Findings), 2025)

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering. - Shiwen Ni; Hao Cheng; Min Yang 007 (ICASSP, 2025)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. - Yuelin Bai; Xeron Du; Yiming Liang; Leo Jin; Junting Zhou; Ziqiang Liu; Feiteng Fang; Mingshan Chang; Tianyu Zheng; Xincheng Zhang; Nuo Ma; Zekun Moore Wang; et al. (NAACL (Findings), 2025)

Distillation Quantification for Large Language Models. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xinrun Du; Sirui He; Jiaheng Liu; Min Yang 007; Zhoufutu Wen; Shiwen Ni (CoRR, 2025)

xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking. - Sunbowen Lee; Shiwen Ni; Chi Wei; Shuaimin Li; Liyang Fan; Ahmadreza Argha; Hamid Alinejad-Rokny; Ruifeng Xu 001; Yicheng Gong; Min Yang 007 (CoRR, 2025)

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. - M.-A-P. Team; Xinrun Du; Yifan Yao; Kaijing Ma; Bingli Wang; Tianyu Zheng; Kang Zhu; Minghao Liu; Yiming Liang; Xiaolong Jin; Zhenlin Wei; Chujie Zheng; et al. (CoRR, 2025)

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs. - David Ma; Yuanxing Zhang; Jincheng Ren; Jarvis Guo; Yifan Yao; Zhenlin Wei; Zhenzhu Yang; Zhongyuan Peng; Boyu Feng; Jun Ma; Xiao Gu 009; Zhoufutu Wen; et al. (CoRR, 2025)

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property. - Qiyao Wang; Guhong Chen; Hongbo Wang; Huaren Liu; Minghui Zhu; Zhifei Qin; Linwei Li; Yilin Yue; Shiqiang Wang; Jiayan Li; Yihang Wu; Ziqiang Liu; et al. (CoRR, 2025)

M-MRE: Extending the Mutual Reinforcement Effect to Multimodal Information Extraction. - Chengguang Gan; Sunbowen Lee; Zhixi Cai; Yanbin Wei; Lei Zheng; Yunhao Liang; Shiwen Ni; Tatsunori Mori (CoRR, 2025)

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding. - David Ma; Huaqing Yuan; Xingjian Wang; Qianbo Zang; Tianci Liu 011; Xinyang He; Yanbin Wei; Jiawei Guo; Ni Jiahui; Zhenzhu Yang; Meng Cao 002; Shanghaoran Quan; et al. (CoRR, 2025)

History, development, and principles of large language models: an introductory survey. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shiwen Ni; Min Yang 007; Wenbin Zhang 002 (AI Ethics, 2025)

Earley-Driven Dynamic Pruning for Efficient Structured Decoding. - Xintong Sun; Chi Wei; Minghao Tian; Shiwen Ni (CoRR, 2025)

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation. - Dingwei Chen; Ziqiang Liu; Feiteng Fang; Chak Tou Leong; Shiwen Ni; Ahmadreza Argha; Hamid Alinejad-Rokny; Min Yang 007; Chengming Li (CoRR, 2025)

A Survey on Large Language Model Benchmarks. - Shiwen Ni; Guhong Chen; Shuaimin Li; Xuanang Chen; Siyi Li; Bingli Wang; Qiyao Wang; Xingjian Wang; Yifan Zhang; Liyang Fan; Chengming Li; Ruifeng Xu 001; et al. (CoRR, 2025)