NLP FOUNDATION MODELS AI FOR SCIENCE

倪仕文 Shiwen Ni

副教授 / Associate Professor

倪仕文 / Shiwen Ni 倪仕文 · 深圳理工大学 / Shiwen Ni · SUAT

研究方向 Research

与字节、阿里、腾讯、顺丰、中科院、北大、哈工深、CMU、新南威尔士等长期合作。 / Long-term academic and industry collaborations.

AI 大模型方法 / Foundation Model Methods

幻觉优化 · 知识编辑 · 高效推理 · 强化学习 · 多智能体 · AI安全 · 模型评测

Hallucination mitigation · knowledge editing · reasoning · reinforcement learning · multi-agent systems · safety · evaluation

AI for Science / 科学智能

基因组语言模型 · 单细胞大模型 · AI安全 · 大模型与人脑对齐

Genomic and single-cell foundation models · AI safety · alignment with the human brain

欢迎加入课题组 / Join us欢迎对自然语言处理和人工智能大模型有热情的本科生、研究生、博士后,一起建设自由、开放、互助的团队。 / We welcome undergraduates, graduate students, and postdoctoral researchers passionate about NLP and foundation models to build an open, collaborative, and supportive team.

联系加入 ↗备用邮箱 ↗小红书 ↗
Profile

个人简介 / About

深圳理工大学人工智能研究院副教授,入选国家海外引才计划,中国中文信息学会青工委执行委员,中国计算机学会自然语言处理专委会执行委员。博士毕业于中国台湾的国立成功大学计算机系,曾任中国科学院深圳先进技术研究院-数字所的博士后/助理研究员(博后合作导师杨敏研究员)。

Associate Professor at SUAT's Artificial Intelligence Research Institute and a recipient of a national overseas talent program. He serves on the executive committees of the Chinese Information Processing Society's Youth Working Committee and CCF's NLP Technical Committee. He earned his Ph.D. at National Cheng Kung University and previously worked as a postdoctoral researcher and assistant researcher at SIAT; his postdoctoral mentor was Prof. Min Yang.

在自然语言处理、AI大模型等方向有着丰富的研究经历和成果,以一作/通讯在ACL、ICLR、ICML、NeurIPS等顶级会议和期刊发表论文30余篇,谷歌学术引用1800余次,相关工作被DeepSeek、Qwen、KIMI、混元、豆包等头部大模型多次引用。担任NLP三大顶会领域主席,以及多个国际顶会和SCI期刊审稿人。

His NLP and foundation-model research includes over 30 first- or corresponding-author papers at venues such as ACL, ICLR, ICML, and NeurIPS, and over 1,800 Google Scholar citations. His work has been cited by DeepSeek, Qwen, Kimi, Hunyuan, and Doubao. He has served as an Area Chair for the three major NLP conferences and as a reviewer for leading conferences and SCI-indexed journals.

主导或参与研发的得理法律大模型、晓星教育&心理大模型、墨子知识产权大模型、顺丰财务审查多智能体系统等多项大模型技术均成功落地应用,累计服务超10万人次,经济效益超千万。

He helped develop and deploy Deli Legal LLM, Xiaoxing Education & Psychology LLM, Mozi Intellectual Property LLM, and SF Express's multi-agent financial review system. Together, these applications have served over 100,000 user interactions and generated economic benefits exceeding 10 million.

Recognition

荣誉与奖励 / Honors & Awards

2025

  • 深圳市优秀博士后Shenzhen Outstanding Postdoctoral Researcher
  • 中国科学院深圳先进技术研究院“卓越员工奖”Excellence in Employment Award, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS)
  • 中国科学院深圳先进技术研究院“优秀员工奖”Outstanding Employee Award, SIAT, CAS
  • 中国科学院深圳先进技术研究院“十大优秀博士后”Top 10 Outstanding Postdoctoral Researchers, SIAT, CAS
  • 中国科学院深圳先进技术研究院-数字所“优秀项目贡献奖”Outstanding Project Contribution Award, Institute of Advanced Computing and Digital Engineering, SIAT
  • 深圳市人工智能学会ACL25预讲最佳海报奖Best Poster Award, ACL 2025 Preview Event, Shenzhen Artificial Intelligence Society

2024

  • 中国国际高新技术成果交易会“优秀科研成果创新奖”Outstanding Research Achievement Innovation Award, China Hi-Tech Fair
  • 中国科学院深圳先进技术研究院-数字所“优秀产业合作奖”Outstanding Industry Collaboration Award, Institute of Advanced Computing and Digital Engineering, SIAT
  • 中国科学院深圳先进技术研究院-数字所“优秀论文奖”Outstanding Paper Award, Institute of Advanced Computing and Digital Engineering, SIAT
  • 中国科学院深圳先进技术研究院“院长博士后择优资助专项计划”President's Selective Postdoctoral Funding Program, SIAT, CAS
  • 中国科学院博士后学术研讨-优秀论文奖Outstanding Paper Award, CAS Postdoctoral Academic Symposium

2023

  • 中国台湾信息学会-最佳博士论文奖“杰出论文奖”Outstanding Dissertation Award, Best Ph.D. Dissertation Award, Taiwan Institute of Information & Computing Machinery

2022

  • 台湾成功大学全校研究日研究比赛第一名奖励First Prize, University-wide Research Day Competition, National Cheng Kung University
  • 台湾成功大学喜马拉雅陆生博士奖学金Himalaya Doctoral Scholarship for Mainland Chinese Students, National Cheng Kung University

2021

  • 台湾成功大学优秀大陆学生博士奖学金Outstanding Mainland Chinese Doctoral Student Scholarship, National Cheng Kung University
Funding & Collaboration

科研项目 / Research Projects

在研项目 / Ongoing

主持 / Principal Investigator
2025/07–2027/07省级项目 / Provincial

广东省粤港澳应用数学中心-青年启动项目

大语言模型可信推理方法研究

Research on Trustworthy Reasoning Methods for Large Language Models · Youth Start-up Project, Guangdong–Hong Kong–Macao Applied Mathematics Center

2025/10–2028/10市级项目 / Municipal

深圳市自然科学基金-面上项目

垂域大语言模型可靠性与可用性协同增强方法研究

Research on Jointly Enhancing Reliability and Usability of Domain-Specific Large Language Models · General Program, Shenzhen Natural Science Foundation

2024/01–2026/12省级项目 / Provincial

广东省自然科学基金-面上项目

基于多模态人工智能大模型的可解释网络谣言检测方法研究

Research on Explainable Online Rumor Detection Using Multimodal AI Foundation Models · General Program, Guangdong Natural Science Foundation

2023/11–2026/10省级项目 / Provincial

广东省区域联合(粤深)基金-青年项目

基于多智能体协同策略的大语言模型生成幻觉优化和评价方法研究

Research on Mitigating and Evaluating Large Language Model Hallucinations through Multi-Agent Collaboration · Youth Program, Guangdong Regional Joint (Guangdong–Shenzhen) Fund

2025/02–2028/02企业合作 / Industry

顺丰|基于智慧物流的AI大模型业财一体化应用于研究(财务共享AI审单)一期&二期

SF Express · Phases I & II: Research on AI Foundation Model Applications for Integrated Business and Finance in Smart Logistics (AI Review of Financial Shared-Service Documents)

2025/10–2026/12企业合作 / Industry

阿里巴巴|面向真实场景的编程智能体数据构造与方法研究

Alibaba · Research on Data Construction and Methods for Coding Agents in Real-World Scenarios

参与项目 / Participating

在研 / Ongoing
2024/12–2027/12深圳市科技重大专项 / Shenzhen Major Science & Technology Program

深圳市2024年度科技重大专项项目

重大链生自然灾害预警与智慧防控技术研究与应用

Research and Application of Early Warning and Intelligent Prevention and Control Technologies for Major Cascading Natural Disasters · Participant

2024/01–2027/12国家自然科学基金面上项目 / NSFC General Program

国家自然科学基金委员会面上项目

对话式语义解析方法研究

Research on Conversational Semantic Parsing · Participant

结题项目 / Completed

主持 / Principal Investigator
2024/08–2026/02博士后基金 / Postdoctoral Fund

第76批中国博士后科学基金面上资助项目

基于自动知识反馈与增强的大语言模型幻觉修复与评估方法研究

Research on Repairing and Evaluating Large Language Model Hallucinations through Automatic Knowledge Feedback and Augmentation · 76th China Postdoctoral Science Foundation General Program

2023/10–2024/10联合实验室 / Joint Lab

中科院深圳先进院-深圳联合信息-教育人工智能联合实验室

SIAT–Shenzhen United Information Joint Laboratory for Educational Artificial Intelligence

倪仕文课题组标识 / SUAT–NLP logo
People · SUAT–NLP

课题组 / Research Group

倪仕文课题组 / Shiwen Ni Research Group

博士后与科研人员 / Postdoctoral Researchers & Research Staff

倪晓敏 / Xiaomin Ni

科研助理教授 / Research Assistant Professor

复旦大学博士、中国科学院博士后
AI for Science

张洛汐 / Luoxi Zhang

博士后 / Postdoctoral Researcher

日本筑波大学博士
多模态大模型、世界模型

沈星宇 / Xingyu Shen

博士后 / Postdoctoral Researcher

加拿大康考迪亚大学博士
语音多模态大模型

左嘉栩 / Jiaxu Zuo

科研助理 / Research Assistant

澳门大学硕士
Master's, University of Macau

博士研究生 / Ph.D. Students

邹云轩 / Yunxuan Zou

2026 级博士生 / Ph.D. Student

深理工—深圳大学联合培养
SUAT–Shenzhen University Joint Program

梁云浩 / Yunhao Liang

2024 级客座博士生 / Visiting Ph.D. Student

中国科学院大学
University of Chinese Academy of Sciences

硕士研究生 / Master's Students

蒋立峰 / Lifeng Jiang

2025 级硕士生 / Master's Student

深理工—南科大联合培养
SUAT–SUSTech Joint Program

王振超 / Zhenchao Wang

2025 级硕士生 / Master's Student

深理工—南科大联合培养
SUAT–SUSTech Joint Program

梁永康 / Yongkang Liang

2026 级硕士生 / Master's Student

深理工—南科大联合培养
SUAT–SUSTech Joint Program

朱嘉林 / Jialin Zhu

2026 级硕士生 / Master's Student

深理工—南科大联合培养
SUAT–SUSTech Joint Program

李青霞 / Qingxia Li

2026 级硕士生 / Master's Student

深理工—南科大联合培养
SUAT–SUSTech Joint Program

彭成义 / Chengyi Peng

彭成义 / Chengyi Peng

2027 级硕士生(推免) / Incoming Master's Student

深理工—深大联合培养
SUAT–Shenzhen University Joint Program

王京晶 / Jingjing Wang

王京晶 / Jingjing Wang

2027 级硕士生(推免) / Incoming Master's Student

深理工—深大联合培养
SUAT–Shenzhen University Joint Program

本科生与实习生 / Undergraduate Students & Interns

刘嘉伟 / Jiawei Liu

2025 级本科生 / Undergraduate Student

深圳理工大学
Shenzhen University of Advanced Technology

罗衍林 / Yanlin Luo

2025 级本科生 / Undergraduate Student

深圳理工大学
Shenzhen University of Advanced Technology

陈俊宇 / Junyu Chen

2026 年暑期实习生 / Summer 2026 Intern

澳门科技大学 / Macau University of Science and Technology
即将赴港科广读研 / Incoming graduate student, HKUST (Guangzhou)

特别成员 / A Special Member

课题组吉祥物舒芙蕾,一只浅金色的猫

【课题组吉祥物·舒芙蕾】

Group Mascot · Soufflé

科研间隙,来看看猫。

Community

学术服务 / Academic Service

学会任职 / Society Leadership

  • 中国中文信息学会青年工作委员会执行委员Executive Committee Member, Youth Working Committee, Chinese Information Processing Society of China
  • 中国计算机学会自然语言处理专业委员会执行委员Executive Committee Member, CCF Technical Committee on Natural Language Processing
  • 中国计算机学会计算法学专业委员会委员Member, CCF Technical Committee on Computational Law
  • 中国计算机学会理论计算专业委员会委员Member, CCF Technical Committee on Theoretical Computer Science

会议任职 / Conference Service

领域主席 / Area Chair

ACL ARR 2024–2026

程序委员会 / Program Committee

AAAI 2026–2027 · EMNLP 2023 · PAKDD 2024 · ECML-PKDD 2023–2025 · AACIP 2023 · AFccT 2023 · AICS 2022–2024 · CNIOT 2022–2024

审稿 / Reviewing

期刊 / Journals

IEEE/ACM Transactions on Audio, Speech and Language Processing · Information Processing and Management · npj Climate Action · Knowledge-Based Systems · Engineering Applications of Artificial Intelligence · CAAI Transactions on Intelligence Technology · Social Network Analysis and Mining · Multimedia Systems · International Journal of Machine Learning and Cybernetics · Journal of Web Engineering

会议 / Conferences

ACL ARR 2023–2024 · COLING 2024–2025 · NeurIPS 2023–2025 · EMNLP 2023–2024 · ICLR 2024, 2026 · ICASSP 2023–2024 · IJCAI 2022–2023 · KDD 2022 · AAMAS 2022 · CIKM 2022 · PAKDD 2022 · ICTAI 2021

Publications

论文发表 / Publications

完整论文列表及引用数据请访问 Google Scholar。 / For citations and the full list, visit Google Scholar.

  1. Shuaimin Li, Liyang Fan, Zeyang Li, Zhuoyue Wan, Yufang Lin, Shiwen Ni†, Feiteng Fang, Hamid Alinejad-Rokny, Yuanfeng Song, Kun Jing, Chen Jason Zhang, Min Yang. SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models, ACL 2026. [Paper] [Github] (CCF A)

  2. Siyi Li, Jiajun Shi, Shiwen Ni†, Ge Zhang, Shuaimin Li, Shijian Wang, Zhoufutu Wen, Yizhi Li, Hamid Alinejad-Rokny, Jiaheng Liu, Min Yang, Wenhao Huang. CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs, ACL 2026. [Paper] [Github] (CCF A)

  3. Guhong Chen, Chenghao Sun, Cheng Fu, Qiyao Wang, Zhihong Huang, Chaopeng Wei, Guangxu Chen, Feiteng Fang, Ahmadreza Argha, Bing Zhao, Xander Xu, Qi Han, Hamid Alinejad-Rokny, Qiang Qu, Binhua Li, Shiwen Ni†, Min Yang, Hu Wei, Yongbin Li. Beyond Quantity: Trajectory Diversity Scaling for Code Agents, ACL 2026. [Paper] [Github] (CCF A)

  4. Chengguang Gan, Zhixi Cai, Yanbin Wei, Yunhao Liang, Shiwen Ni†, Tatsunori Mori. M-MRE: Extending the Mutual Reinforcement Effect to Multimodal Information Extraction, ACL 2026. [Paper] (CCF A)

  5. Qiyao Wang, Guhong Chen, Hongbo Wang, Huaren Liu, Minghui Zhu, Zhifei Qin, Linwei Li, Yilin Yue, Shiqiang Wang, Jiayan Li, Yihang Wu, Ziqiang Liu, Longze Chen, Run Luo, Liyang Fan, Jiaming Li, Lei Zhang, Kan Xu, Hamid Alinejad-Rokny, Chengming Li, Shiwen Ni†, Yuan Lin, Min Yang. Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice, ACL 2026. [Paper] [Github] (CCF A)

  6. David Ma, Huaqing Yuan, Xingjian Wang, Qianbo Zang, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, Ni Jiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, Jiaheng Liu, Wenhao Huang, Ge Zhang, Shiwen Ni†, Xiaojie Jin. ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding, ICLR 2026. [Paper] [Github] (CCF A)

  7. David Ma, Yuanxing Zhang, Jincheng Ren, Jarvis Guo, Yifan Yao, Zhenlin Wei, Zhenzhu Yang, Zhongyuan Peng, Boyu Feng, Jun Ma, Xiao Gu, Zhoufutu Wen, King Zhu, Yancheng He, Meng Cao, Shiwen Ni, Jiaheng Liu, Wenhao Huang, Ge Zhang, Xiaojie Jin. IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs, ICLR 2026. [Paper] [Github] (CCF A)

  8. Shuaimin Li, Liyang Fan, linyufang, Zeyang Li, Xian Wei, Shiwen Ni†, Hamid Alinejad-Rokny, Min Yang†. Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates, AAAI 2026. [Paper] (CCF A)

  9. Shuaimin Li, Chen Jason Zhang, Xuanang Chen, Anni Peng, Zhuoyue Wan, Yuanfeng Song, Shiwen Ni, Min Yang, Fei Hao, Raymond Chi-Wing Wong. VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models, ICDE 2025. (CCF A)

  10. Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shawn Gavin, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, David Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tyshawn Hsing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni (Organization Committee Member), Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang, SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines, NeurIPS 2025. [Paper] [Huggingface] [量子位] (CCF A)

  11. Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang†, Chengming Li†. Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation, EMNLP 2025. [Paper] (CCF B)

  12. Sunbowen Lee*, Junting Zhou*, Chang Ao*, Kaige Li, Xinrun Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang†, Yitao Liang†, Zhoufutu Wen†, Shiwen Ni†. Quantification of Large Language Model Distillation, ACL 2025. [Paper] [Github] [新智元] (CCF A)

  13. 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, JH Liu, Chenghua Lin, Min Yang, Shiwen Ni†, Wenhao Huang†, Ge Zhang†. LIME: Less Is More for MLLM Evaluation, ACL 2025. [Paper] [Github] (CCF A)

  14. 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†. Can MLLMs Understand the Deep Implication Behind Chinese Images?, ACL 2025. [Paper] [Huggingface] [深度学习自然语言处理] (CCF A)

  15. 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, ACL 2025. [Paper] [Github] [新智元] (CCF A)

  16. Xintong Sun*, Chi Wei*, Minghao Tian, Shiwen Ni†. Earley-Driven Dynamic Pruning for Efficient Structured Decoding, ICML 2025. [Paper] [Github] (CCF A)

  17. Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu†, Min Yang†. Training on the Benchmark Is Not All You Need, AAAI 2025. [Paper] [Github] [深度学习自然语言处理] (CCF A)

  18. Shiwen Ni*, Hao Cheng*, Min Yang†. Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering, ICASSP 2025. [Paper] (CCF B)

  19. 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, NAACL 2025. [Paper] [HuggingFace] [量子位] [机器之心] (CCF B)

  20. 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, NeurIPS 2024. [Paper] [Huggingface] [深度学习自然语言处理] (CCF A)

  21. Zichong Wang, Zhibo Chu, Thang Viet Doan, Shiwen Ni, Min Yang, Wenbin Zhang. History, development, and principles of large language models: an introductory survey, AI and Ethics, 2024. [Paper]

  22. Shiwen Ni, Min Yang†. Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration, ICSR 2024. [Paper]

  23. 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, CIKM 2024. [Paper] [System] (CCF B)

  24. 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 2024. [Paper] [Github] [深度学习自然语言处理] (CCF A)

  25. 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 2024. [Paper] (CCF A)

  26. 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 2024. [Paper] [Github] (CCF A)

  27. 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, COLING 2024. [Paper] [Github] (CCF B)

  28. Shiwen Ni, Min Yang†, Ruifeng Xu, Chengming Li, Xiping Hu. Layer-wise Regularized Dropout for Neural Language Models, COLING 2024. [Paper] (CCF B)

  29. Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao†. DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023. [Paper] [Github] (JCR Q1)

  30. Shiwen Ni, Hung-Yu Kao†. KPT++: Refined Knowledgeable Prompt Tuning for Few-shot Text Classification, Knowledge-Based Systems, 2023. [Paper] (JCR Q1)

  31. Shiwen Ni, Hung-Yu Kao†. Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. IEEE Transactions on Artificial Intelligence, 2023. [Paper]

  32. Jiawen Li, Ronghui Li, Shiwen Ni, Hung-Yu Kao†. EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection, Neurocomputing, 2023. [Paper] (JCR Q1)

  33. Shiwen Ni, Jiawen Li, Hung-Yu Kao†. R-AT: Regularized Adversarial Training for Natural Language Understanding, EMNLP 2022. [Paper] [Github] (CCF B)

  34. Shiwen Ni, Hung-Yu Kao†. ELECTRA Is A Zero-shot Learner, Too, arXiv preprint arXiv:2207.08141, 2022. [Paper] [Github]

  35. Shiwen Ni, Jiawen Li, Hung-Yu Kao†. True or False: Does the Deep Learning Model Learn to Detect Rumors? TAAI 2021. [Paper]

  36. Jiawen Li, Shiwen Ni, Hung-Yu Kao†. Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection, ACL 2021. [Paper] (CCF A)

  37. Shiwen Ni, Hung-Yu Kao†. PSForest: Improving Deep Forest via Feature Pooling and Error Screening, ACML 2020. [Paper] (CCF C)

* 共同第一作者 / Equal contribution    † 通讯作者 / Corresponding author