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ORCIDWenpeng Yin 0001
Person information
- affiliation: Pennsylvania State University, PA, USA
- affiliation (former): Temple University, LanguageX Lab, Philadelphia, PA, USA
- affiliation (2019 - 2021): Salesforce Research, Palo Alto, CA, USA
- affiliation (2017 - 2019): University of Pennsylvania, School of Engineering and Applied Science, Philadelphia, PA, USA
- affiliation (PhD 2017): Ludwig Maximilian University, Munich, Germany
- affiliation (former): Peking University, China
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2020 – today
- 2024
[j10]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: 37600-37614 (2024)- [c52]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) 2024: 637-648 - [c51]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: 680-699 - [c50]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: 4652-4665 - [c49]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. ACL (Findings) 2024: 10288-10302 - [c48]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: 13755-13772 - [c47]Renze Lou, Wenpeng Yin:
Toward Zero-Shot Instruction Following. EACL (Student Research Workshop) 2024: 50-60 - [c46]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: 225-237 - [c45]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 - [c44]Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin:
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking. ICLR 2024 - [i59]Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin:
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking. CoRR abs/2401.17099 (2024) - [i58]Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, Wenpeng Yin:
Large Language Models for Mathematical Reasoning: Progresses and Challenges. CoRR abs/2402.00157 (2024) - [i57]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 abs/2402.11122 (2024) - [i56]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. CoRR abs/2402.11138 (2024) - [i55]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR abs/2402.15896 (2024) - [i54]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 abs/2402.18667 (2024) - [i53]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 abs/2403.03863 (2024) - [i52]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 abs/2404.03602 (2024) - [i51]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 abs/2406.05460 (2024) - [i50]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 abs/2406.05602 (2024) - [i49]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 abs/2406.13103 (2024) - [i48]Hanzi Xu, Renze Lou, Jiangshu Du, Vahid Mahzoon, Elmira Talebianaraki, Zhuoan Zhou, Elizabeth Garrison, Slobodan Vucetic, Wenpeng Yin:
LLMs' Classification Performance is Overclaimed. CoRR abs/2406.16203 (2024) - [i47]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 abs/2406.16253 (2024) - [i46]Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin:
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. CoRR abs/2407.11017 (2024) - [i45]Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang:
Exploring Language Model Generalization in Low-Resource Extractive QA. CoRR abs/2409.18446 (2024) - 2023
- [j9]Yair Neuman, Yochai Cohen, Wenpeng Yin:
Identifying social norm violation in movie plots: from Borat to American Pie. Digit. Scholarsh. Humanit. 38(4): 1636-1645 (2023) - [c43]Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu:
Learning to Select from Multiple Options. AAAI 2023: 12754-12762 - [c42]Jiasheng Gu, Hongyu Zhao, Hanzi Xu, Liangyu Nie, Hongyuan Mei, Wenpeng Yin:
Robustness of Learning from Task Instructions. ACL (Findings) 2023: 13935-13948 - [c41]Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth:
Indirectly Supervised Natural Language Processing. ACL (tutorial) 2023: 32-40 - [c40]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. EACL 2023: 2671-2680 - [c39]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: 6998-7010 - [c38]A M. Muntasir Rahman, Wenpeng Yin, Guiling Wang:
Data Augmentation for Text Classification with EASE. ICNLSP 2023: 324-332 - [c37]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: 131-138 - [i44]Renze Lou, Kai Zhang, Wenpeng Yin:
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning. CoRR abs/2303.10475 (2023) - [i43]Renze Lou, Wenpeng Yin:
Forget Demonstrations, Focus on Learning from Textual Instructions. CoRR abs/2308.03795 (2023) - [i42]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 abs/2309.03563 (2023) - [i41]Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang:
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. CoRR abs/2311.03748 (2023) - [i40]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 abs/2312.02436 (2023) - [i39]Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy:
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. CoRR abs/2312.06315 (2023) - 2022
- [j8]Bangzheng Li, Wenpeng Yin, Muhao Chen:
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. Trans. Assoc. Comput. Linguistics 10: 607-622 (2022) - [c36]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. ACL (1) 2022: 3062-3072 - [c35]Hanzi Xu, Slobodan Vucetic, Wenpeng Yin:
OpenStance: Real-world Zero-shot Stance Detection. CoNLL 2022: 314-324 - [c34]Chang Tian, Wenpeng Yin, Marie-Francine Moens:
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. NAACL-HLT (Findings) 2022: 565-577 - [c33]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Pairwise Representation Learning for Event Coreference. *SEM@NAACL-HLT 2022: 69-78 - [i38]Bangzheng Li, Wenpeng Yin, Muhao Chen:
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. CoRR abs/2202.06167 (2022) - [i37]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. CoRR abs/2203.08512 (2022) - [i36]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 abs/2203.12187 (2022) - [i35]Chang Tian, Wenpeng Yin, Marie-Francine Moens:
Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. CoRR abs/2207.11762 (2022) - [i34]Hanzi Xu, Slobodan Vucetic, Wenpeng Yin:
OpenStance: Real-world Zero-shot Stance Detection. CoRR abs/2210.14299 (2022) - [i33]Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu:
Learning to Select from Multiple Options. CoRR abs/2212.00301 (2022) - [i32]Jiasheng Gu, Hanzi Xu, Liangyu Nie, Wenpeng Yin:
Robustness of Learning from Task Instructions. CoRR abs/2212.03813 (2022) - 2021
- [j7]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): 4417-4428 (2021) - [j6]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) - [j5]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): 761-775 (2021) - [c32]Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong:
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) 2021: 4908-4912 - [c31]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4913-4922 - [c30]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: 1351-1360 - [c29]Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. NAACL-HLT 2021: 2760-2766 - [i31]Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. CoRR abs/2104.05827 (2021) - [i30]Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu:
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR abs/2104.11882 (2021) - [i29]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. CoRR abs/2106.09449 (2021) - [i28]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 abs/2111.10497 (2021) - [i27]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. CoRR abs/2112.07888 (2021) - 2020
- [j4]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): 971-982 (2020) - [c28]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING 2020: 3436-3440 - [c27]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: 8229-8239 - [i26]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 abs/2003.04985 (2020) - [i25]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 abs/2006.09595 (2020) - [i24]Wenpeng Yin:
Meta-learning for Few-shot Natural Language Processing: A Survey. CoRR abs/2007.09604 (2020) - [i23]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR abs/2010.02394 (2020) - [i22]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 abs/2010.02584 (2020) - [i21]Nazneen Fatema Rajani, Ben Krause, Wenpeng Yin, Tong Niu, Richard Socher, Caiming Xiong:
Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR abs/2010.09030 (2020) - [i20]Xiaodong Yu, Wenpeng Yin, Dan Roth:
Paired Representation Learning for Event and Entity Coreference. CoRR abs/2010.12808 (2020)
2010 – 2019
- 2019
- [c26]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. EMNLP/IJCNLP (1) 2019: 3912-3921 - [c25]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: 542-557 - [i19]Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth:
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. CoRR abs/1906.03538 (2019) - [i18]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 abs/1908.07820 (2019) - [i17]Wenpeng Yin, Jamaal Hay, Dan Roth:
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. CoRR abs/1909.00161 (2019) - 2018
- [j3]Wenpeng Yin, Hinrich Schütze:
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. Trans. Assoc. Comput. Linguistics 6: 687-702 (2018) - [c24]Wenpeng Yin, Dan Roth, Hinrich Schütze:
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. ACL (2) 2018: 540-545 - [c23]Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze:
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. COLING 2018: 2369-2378 - [c22]Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. EMNLP 2018: 105-114 - [c21]Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. *SEM@NAACL-HLT 2018: 203-213 - [i16]Wenpeng Yin, Dan Roth, Hinrich Schütze:
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions. CoRR abs/1804.08813 (2018) - [i15]Wenpeng Yin, Yadollah Yaghoobzadeh, Hinrich Schütze:
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. CoRR abs/1806.04523 (2018) - [i14]Wenpeng Yin, Dan Roth:
Term Definitions Help Hypernymy Detection. CoRR abs/1806.04532 (2018) - [i13]Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. CoRR abs/1808.03465 (2018) - 2017
- [b1]Wenpeng Yin:
Deep neural networks for identification of sentential relations. Ludwig Maximilian University of Munich, Germany, 2017 - [c20]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: 571-581 - [c19]Wenpeng Yin, Hinrich Schütze:
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. EACL (1) 2017: 699-709 - [i12]Wenpeng Yin, Hinrich Schütze:
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. CoRR abs/1701.02149 (2017) - [i11]Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze:
Comparative Study of CNN and RNN for Natural Language Processing. CoRR abs/1702.01923 (2017) - [i10]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 abs/1704.06194 (2017) - [i9]Wenpeng Yin, Hinrich Schütze:
Attentive Convolution. CoRR abs/1710.00519 (2017) - 2016
- [j2]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Trans. Assoc. Comput. Linguistics 4: 259-272 (2016) - [c18]Wenpeng Yin, Hinrich Schütze:
Learning Word Meta-Embeddings. ACL (1) 2016 - [c17]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. COLING 2016: 1746-1756 - [i8]Wenpeng Yin, Sebastian Ebert, Hinrich Schütze:
Attention-Based Convolutional Neural Network for Machine Comprehension. CoRR abs/1602.04341 (2016) - [i7]Wenpeng Yin, Hinrich Schütze:
Multichannel Variable-Size Convolution for Sentence Classification. CoRR abs/1603.04513 (2016) - [i6]Wenpeng Yin, Tobias Schnabel, Hinrich Schütze:
Online Updating of Word Representations for Part-of-Speech Tagging. CoRR abs/1604.00502 (2016) - [i5]Wenpeng Yin, Hinrich Schütze:
Discriminative Phrase Embedding for Paraphrase Identification. CoRR abs/1604.00503 (2016) - [i4]Wenpeng Yin, Hinrich Schütze:
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities. CoRR abs/1604.06896 (2016) - [i3]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. CoRR abs/1606.03391 (2016) - 2015
- [j1]Zhiang Wu, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, Jin Shi:
Detecting overlapping communities in poly-relational networks. World Wide Web 18(5): 1373-1390 (2015) - [c16]Wenpeng Yin, Hinrich Schütze:
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. ACL (1) 2015: 63-73 - [c15]Wenpeng Yin, Hinrich Schütze:
Multichannel Variable-Size Convolution for Sentence Classification. CoNLL 2015: 204-214 - [c14]Wenpeng Yin, Tobias Schnabel, Hinrich Schütze:
Online Updating of Word Representations for Part-of-Speech Tagging. EMNLP 2015: 1329-1334 - [c13]Wenpeng Yin, Yulong Pei:
Optimizing Sentence Modeling and Selection for Document Summarization. IJCAI 2015: 1383-1389 - [c12]Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow:
LCCT: A Semi-supervised Model for Sentiment Classification. HLT-NAACL 2015: 546-555 - [c11]Wenpeng Yin, Hinrich Schütze:
Convolutional Neural Network for Paraphrase Identification. HLT-NAACL 2015: 901-911 - [c10]Wenpeng Yin, Hinrich Schütze:
Discriminative Phrase Embedding for Paraphrase Identification. HLT-NAACL 2015: 1368-1373 - [i2]Wenpeng Yin, Hinrich Schütze:
Learning Word Meta-Embeddings by Using Ensembles of Embedding Sets. CoRR abs/1508.04257 (2015) - [i1]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. CoRR abs/1512.05193 (2015) - 2014
- [c9]Wenpeng Yin, Hinrich Schütze:
An Exploration of Embeddings for Generalized Phrases. ACL (Student Research Workshop) 2014: 41-47 - [c8]Wenpeng Yin, Hinrich Schütze:
Deep Learning Embeddings for Discontinuous Linguistic Units. ICLR (Workshop Poster) 2014 - 2013
- [c7]Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea:
Community Detection in Multi-relational Social Networks. WISE (2) 2013: 43-56 - 2012
- [c6]Wenpeng Yin, Yulong Pei, Fan Zhang, Lian'en Huang:
Query-focused multi-document summarization based on query-sensitive feature space. CIKM 2012: 1652-1656 - [c5]Yulong Pei, Wenpeng Yin, Qifeng Fan, Lian'en Huang:
A Supervised Aggregation Framework for Multi-Document Summarization. COLING 2012: 2225-2242 - [c4]Wenpeng Yin, Lifu Huang, Yulong Pei, Lian'en Huang:
RelationListwise for Query-Focused Multi-Document Summarization. COLING 2012: 2961-2976 - [c3]Wenpeng Yin, Yulong Pei, Fan Zhang, Lian'en Huang:
SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization. COLING 2012: 2977-2992 - [c2]Yulong Pei, Wenpeng Yin, Lian'en Huang:
Generic Multi-Document Summarization Using Topic-Oriented Information. PRICAI 2012: 435-446 - [c1]Wenpeng Yin, Yulong Pei, Lian'en Huang:
Automatic Multi-document Summarization Based on New Sentence Similarity Measures. PRICAI 2012: 832-837
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-18 19:33 CEST by the dblp team
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