Photo of Wenpeng Yin

Wenpeng Yin

Assistant Professor

Affiliation(s):

  • School of Electrical Engineering and Computer Science
  • Computer Science and Engineering

W328 Westgate Building

wfy5054@psu.edu

814-867-1773

Personal or Departmental Website

Research Areas:

Data Science and Artificial Intelligence

Interest Areas:

Natural Language Processing, Deep Learning

 
 

 

Education

  • Bachelor, Computer Science & Technology, Northwestern Polytechnical University, 2010
  • Master, Computer Applied Technology, Peking University, 2013
  • Ph.D., Informatics, Ludwig Maximilian University of Munich, 2017

Publications

Journal Articles

  • Chang Tian, Wenpeng Yin, Dan Li and Marie-Francine Moens, 2024, "Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition", IEEE Access
  • Renze Lou, Kai Zhang and Wenpeng Yin, 2024, "Large Language Model Instruction Following: A Survey of Progresses and Challenges", Computational Linguistics, 50
  • Simone Luchini, Ibraheem Moosa, etc. , Wenpeng Yin and Roger E. Beaty, 2024, "Automated Assessment of Creativity in Multilingual Narratives", Psychology of Aesthetics, Creativity, and the Arts

Conference Proceedings

  • Renze Lou and Wenpeng Yin, 2024, "Toward Zero-Shot Instruction Following", Association for Computational Linguistics
  • Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang and Wenpeng Yin, 2024, "Large Language Models for Mathematical Reasoning: Progresses and Challenges", Association for Computational Linguistics
  • Jingyi Gu, Junyi Ye, Guiling Wang and Wenpeng Yin, 2024, "Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management", ACM
  • Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su and Wenpeng Yin, 2024, "MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following"
  • Ibraheem Muhammad Moosa, Rui Zhang and Wenpeng Yin, 2024, "MT-Ranker: Reference-free machine translation evaluation by inter-system ranking"
  • Tianyi Lorena Yan, Fei Wang, James Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin and Muhao Chen, 2024, "Contrastive Instruction Tuning"
  • Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic and Wenpeng Yin, 2024, "X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification"
  • Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin and Lifu Huang, 2024, "Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models"
  • Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin and Caiming Xiong, 2024, "FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability"
  • Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin and Lifu Huang, 2024, "Multimodal Instruction Tuning with Conditional Mixture of LoRA"
  • Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin and Rui Zhang, 2024, "Evaluating LLMs at Detecting Errors in LLM Responses"
  • Wenpeng Yin, Muhao Chen, Rui Zhang, Ben Zhou, Fei Wang and Dan Roth, 2024, "Enhancing LLM Capabilities Beyond Scaling Up"
  • Chang Tian, Matthew B, Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue and Marie-Francine Moens, 2024, "A Generic Method for Fine-grained Category Discovery in Natural Language Texts"
  • Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, etc. , Rui Zhang, Philip S. Yu and Wenpeng Yin, 2024, "LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing"
  • Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren and Hinrich Schütze, 2023, "LLM-driven Instruction Following: Progresses and Concerns", EMNLP, Association for Computational Linguistics, pp. 19--25
  • Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin and Rui Zhang, 2023, "Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning", EMNLP
  • Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang and Philip S. Yu, 2023, "All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm", IJCNLP, pp. 131--138
  • Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang and Dan Roth, 2023, "Indirectly Supervised Natural Language Processing", ACL, Association for Computational Linguistics, United States, pp. 32--40
  • Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei and Wenpeng Yin, 2023, "Robustness of Learning from Task Instructions", ACL, Association for Computational Linguistics, pp. 13935--13948
  • Xiaodong Yu, Wenpeng Yin, Nitish Gupta and Dan Roth, 2023, "Event Linking: Grounding Event Mentions to Wikipedia", EACL, Association for Computational Linguistics, United States, pp. 2671--2680
  • Jiangshu Du, Wenpeng Yin, Congying Xia and Philip S. Yu, 2023, "Learning to Select from Multiple Options", AAAI, AAAI Press, United States, pp. 12754--12762

Research Projects

Honors and Awards

Service

Service to Penn State:

Service to External Organizations:

 


 

About

The School of Electrical Engineering and Computer Science was created in the spring of 2015 to allow greater access to courses offered by both departments for undergraduate and graduate students in exciting collaborative research fields.

We offer B.S. degrees in electrical engineering, computer science, computer engineering and data science and graduate degrees (master's degrees and Ph.D.'s) in electrical engineering and computer science and engineering. EECS focuses on the convergence of technologies and disciplines to meet today’s industrial demands.

School of Electrical Engineering and Computer Science

The Pennsylvania State University

207 Electrical Engineering West

University Park, PA 16802

814-863-6740

Department of Computer Science and Engineering

814-865-9505

Department of Electrical Engineering

814-865-7039