Journal Articles
- Wenpeng Yin, Chang Tian, Dan Li and Marie-Francine Moens, 2024, "Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition", IEEE Access
- Wenpeng Yin, Renze Lou and Kai Zhang, 2024, "Large Language Model Instruction Following: A Survey of Progresses and Challenges", Computational Linguistics, 50
- Wenpeng Yin, Simone Luchini, Ibraheem Moosa, etc. and Roger E. Beaty, 2024, "Automated Assessment of Creativity in Multilingual Narratives", Psychology of Aesthetics, Creativity, and the Arts
Conference Proceedings
- Wenpeng Yin, Jiangshu Du and Philip Yu, 2025, "ScaleFormer: Span Representation Cumulation for Long-Context Transformer"
- Wenpeng Yin, Zhihan Zhang, Renze Lou and Meng Jiang, 2025, "Advancing Language Models through Instruction Tuning: Recent Progress and Challenges"
- Wenpeng Yin, Xiaofan Zhou, Rui Zhang, Wenrui Hao and Lu Cheng, 2025, "Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation"
- Wenpeng Yin, Yusen Zhang and Rui Zhang, 2025, "HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?"
- Wenpeng Yin and Jihyun Janice Ahn, 2025, "Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing"
- Wenpeng Yin and Renze Lou, 2025, "AAAR-1.0: Assessing AI's Potential to Assist Research"
- Wenpeng Yin, Sanjay Aiyagari and Hasan Zengin, 2025, "Natural Language Interaction Protocol (NLIP)"
- Wenpeng Yin, Junyi Ye and Guiling Wang, 2025, "Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding"
- Wenpeng Yin, Zhiwei Zhang and Suhang Wang, 2025, "Catastrophic Failure of LLM Unlearning via Quantization"
- Wenpeng Yin, Junyi Ye and Guiling Wang, 2025, "Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems"
- Wenpeng Yin, Saptarshi Sengupta, Suhang Wang and Preslav Nakov, 2025, "TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering"
- Wenpeng Yin, Saptarshi Sengupta, Suhang Wang and Preslav Nakov, 2025, "Exploring Language Model Generalization in Low-Resource Extractive QA"
- Wenpeng Yin and Renze Lou, 2024, "Toward Zero-Shot Instruction Following", Association for Computational Linguistics
- Wenpeng Yin, Janice Ahn, Rishu Verma, Renze Lou, Di Liu and Rui Zhang, 2024, "Large Language Models for Mathematical Reasoning: Progresses and Challenges", Association for Computational Linguistics
- Wenpeng Yin, Jingyi Gu, Junyi Ye and Guiling Wang, 2024, "Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management", ACM
- Wenpeng Yin, Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu and Yu Su, 2024, "MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following"
- Wenpeng Yin, Ibraheem Muhammad Moosa and Rui Zhang, 2024, "MT-Ranker: Reference-free machine translation evaluation by inter-system ranking"
- Wenpeng Yin, Tianyi Lorena Yan, Fei Wang, James Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan and Muhao Chen, 2024, "Contrastive Instruction Tuning"
- Wenpeng Yin, Hanzi Xu, Muhao Chen, Lifu Huang and Slobodan Vucetic, 2024, "X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification"
- Wenpeng Yin, Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang and Lifu Huang, 2024, "Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models"
- Wenpeng Yin, Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu and Caiming Xiong, 2024, "FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability"
- Wenpeng Yin, Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng and Lifu Huang, 2024, "Multimodal Instruction Tuning with Conditional Mixture of LoRA"
- Wenpeng Yin, 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 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"
- Wenpeng Yin, Chang Tian, Matthew B, Blaschko, Mingzhe Xing, Yinliang Yue and Marie-Francine Moens, 2024, "A Generic Method for Fine-grained Category Discovery in Natural Language Texts"
- Wenpeng Yin, Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, etc. , Rui Zhang and Philip S. Yu, 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
- Wenpeng Yin, Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi and Rui Zhang, 2023, "Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning", EMNLP
- Wenpeng Yin, Jiangshu Du, Congying Xia, 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
- Wenpeng Yin, Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie and Hongyuan Mei, 2023, "Robustness of Learning from Task Instructions", ACL, Association for Computational Linguistics, pp. 13935--13948
- Wenpeng Yin, Xiaodong Yu, Nitish Gupta and Dan Roth, 2023, "Event Linking: Grounding Event Mentions to Wikipedia", EACL, Association for Computational Linguistics, United States, pp. 2671--2680
- Wenpeng Yin, Jiangshu Du, Congying Xia and Philip S. Yu, 2023, "Learning to Select from Multiple Options", AAAI, AAAI Press, United States, pp. 12754--12762
- Wenpeng Yin and Eugene Kwek, , "COMPACT: Common-token Optimized Model Pruning Across Channels and Tokens"
