Wenpeng Yin

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 106

Top Venues

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. CoRR (2024)
Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin
Large Language Models for Mathematical Reasoning: Progresses and Challenges. EACL (Student Research Workshop) (2024)
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
Contrastive Instruction Tuning. CoRR (2024)
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
Contrastive Instruction Tuning. ACL (Findings) (2024)
Renze Lou, Wenpeng Yin
Toward Zero-Shot Instruction Following. EACL (Student Research Workshop) (2024)
Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR (2024)
Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR (2024)
Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. ACL (Findings) (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) (2024)
Philip Wootaek Shin, Jihyun Janice Ahn, Wenpeng Yin, Jack Sampson, Vijaykrishnan Narayanan
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models. CoRR (2024)
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking. ICLR (2024)
Chang Tian, Wenpeng Yin, Dan Li, Marie-Francine Moens
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition. CoRR (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR (2024)
Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. CoRR (2024)
Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens
A Generic Method for Fine-grained Category Discovery in Natural Language Texts. CoRR (2024)
Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su, Wenpeng Yin
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following. ICLR (2024)
Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin
Large Language Models for Mathematical Reasoning: Progresses and Challenges. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Chang Tian, Wenpeng Yin, Dan Li, Marie-Francine Moens
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition. IEEE Access 12 (2024)
Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. ACL (1) (2024)
Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) (2024)
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, Rui Zhang
Evaluating LLMs at Detecting Errors in LLM Responses. CoRR (2024)
Hanzi Xu, Renze Lou, Jiangshu Du, Vahid Mahzoon, Elmira Talebianaraki, Zhuoan Zhou, Elizabeth Garrison, Slobodan Vucetic, Wenpeng Yin
LLMs' Classification Performance is Overclaimed. CoRR (2024)
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. IJCNLP (2) (2023)
Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. EMNLP (2023)
Yair Neuman, Yochai Cohen, Wenpeng Yin
Identifying social norm violation in movie plots: from Borat to American Pie. Digit. Scholarsh. Humanit. 38 (4) (2023)
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Event Linking: Grounding Event Mentions to Wikipedia. EACL (2023)
Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin
Robustness of Learning from Task Instructions. ACL (Findings) (2023)
Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. CoRR (2023)
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
Learning to Select from Multiple Options. AAAI (2023)
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. CoRR (2023)
Renze Lou, Wenpeng Yin
Forget Demonstrations, Focus on Learning from Textual Instructions. CoRR (2023)
Renze Lou, Kai Zhang, Wenpeng Yin
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning. CoRR (2023)
Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth
Indirectly Supervised Natural Language Processing. ACL (tutorial) (2023)
Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su, Wenpeng Yin
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following. CoRR (2023)
Hanzi Xu, Slobodan Vucetic, Wenpeng Yin
OpenStance: Real-world Zero-shot Stance Detection. CoRR (2022)
Jiasheng Gu, Hanzi Xu, Liangyu Nie, Wenpeng Yin
Robustness of Learning from Task Instructions. CoRR (2022)
Wenpeng Yin, Jia Li, Caiming Xiong
ConTinTin: Continual Learning from Task Instructions. CoRR (2022)
Chang Tian, Wenpeng Yin, Marie-Francine Moens
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. CoRR (2022)
Bangzheng Li, Wenpeng Yin, Muhao Chen
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. Trans. Assoc. Comput. Linguistics 10 (2022)
Wenpeng Yin, Jia Li, Caiming Xiong
ConTinTin: Continual Learning from Task Instructions. ACL (1) (2022)
Chang Tian, Wenpeng Yin, Marie-Francine Moens
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. NAACL-HLT (Findings) (2022)
Xiaodong Yu, Wenpeng Yin, Dan Roth
Pairwise Representation Learning for Event Coreference. *SEM@NAACL-HLT (2022)
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
Learning to Select from Multiple Options. CoRR (2022)
Hanzi Xu, Slobodan Vucetic, Wenpeng Yin
OpenStance: Real-world Zero-shot Stance Detection. CoNLL (2022)
Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR (2022)
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Event Linking: Grounding Event Mentions to Wikipedia. CoRR (2021)
Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) (2021)
Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12 (3) (2021)
Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma, Yaohong Jin
Empirical evaluation of multi-task learning in deep neural networks for natural language processing. Neural Comput. Appl. 33 (9) (2021)
Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong
Learning to Synthesize Data for Semantic Parsing. NAACL-HLT (2021)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL-HLT (2021)
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine 4 (2021)
Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. CoRR (2021)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR (2021)
Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong
Learning to Synthesize Data for Semantic Parsing. CoRR (2021)
Wenpeng Yin, Dragomir R. Radev, Caiming Xiong
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) (2021)
Wenpeng Yin, Dragomir R. Radev, Caiming Xiong
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. CoRR (2021)
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. CoRR (2020)
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR (2020)
Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR (2020)
Xiaodong Yu, Wenpeng Yin, Dan Roth
Paired Representation Learning for Event and Entity Coreference. CoRR (2020)
Wenpeng Yin
Meta-learning for Few-shot Natural Language Processing: A Survey. CoRR (2020)
Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) (2020)
Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR (2020)
Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING (2020)
Wenpeng Yin, Jamaal Hay, Dan Roth
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. EMNLP/IJCNLP (1) (2019)
Wenpeng Yin, Jamaal Hay, Dan Roth
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. CoRR (2019)
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR (2019)
Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing. CoRR (2019)
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. NAACL-HLT (1) (2019)
Wenpeng Yin, Dan Roth
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. CoRR (2018)
Wenpeng Yin, Dan Roth, Hinrich Schütze
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. ACL (2) (2018)
Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. COLING (2018)
Wenpeng Yin, Dan Roth, Hinrich Schütze
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions. CoRR (2018)
Wenpeng Yin, Dan Roth
Term Definitions Help Hypernymy Detection. *SEM@NAACL-HLT (2018)
Wenpeng Yin, Hinrich Schütze
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. Trans. Assoc. Comput. Linguistics 6 (2018)
Wenpeng Yin, Dan Roth
Term Definitions Help Hypernymy Detection. CoRR (2018)
Wenpeng Yin, Dan Roth
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. EMNLP (2018)
Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. CoRR (2018)
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
Improved Neural Relation Detection for Knowledge Base Question Answering. ACL (1) (2017)
Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze
Comparative Study of CNN and RNN for Natural Language Processing. CoRR (2017)
Wenpeng Yin, Hinrich Schütze
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. EACL (1) (2017)
Wenpeng Yin, Hinrich Schütze
Attentive Convolution. CoRR (2017)
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou
Improved Neural Relation Detection for Knowledge Base Question Answering. CoRR (2017)
Wenpeng Yin, Hinrich Schütze
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. CoRR (2017)
Wenpeng Yin, Hinrich Schütze
Learning Word Meta-Embeddings. ACL (1) (2016)
Wenpeng Yin, Hinrich Schütze
Multichannel Variable-Size Convolution for Sentence Classification. CoRR (2016)
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
Simple Question Answering by Attentive Convolutional Neural Network. COLING (2016)
Wenpeng Yin, Hinrich Schütze
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities. CoRR (2016)
Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Trans. Assoc. Comput. Linguistics 4 (2016)
Wenpeng Yin, Sebastian Ebert, Hinrich Schütze
Attention-Based Convolutional Neural Network for Machine Comprehension. CoRR (2016)
Wenpeng Yin, Hinrich Schütze
Discriminative Phrase Embedding for Paraphrase Identification. CoRR (2016)
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze
Simple Question Answering by Attentive Convolutional Neural Network. CoRR (2016)
Wenpeng Yin, Tobias Schnabel, Hinrich Schütze
Online Updating of Word Representations for Part-of-Speech Tagging. CoRR (2016)
Zhiang Wu, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, Jin Shi
Detecting overlapping communities in poly-relational networks. World Wide Web 18 (5) (2015)
Wenpeng Yin, Hinrich Schütze
Discriminative Phrase Embedding for Paraphrase Identification. HLT-NAACL (2015)
Wenpeng Yin, Yulong Pei
Optimizing Sentence Modeling and Selection for Document Summarization. IJCAI (2015)
Wenpeng Yin, Hinrich Schütze
Learning Word Meta-Embeddings by Using Ensembles of Embedding Sets. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wenpeng Yin