Query-focused multi-document summarization based on query-sensitive feature space. - Wenpeng Yin 001; Yulong Pei; Fan Zhang; Lian'en Huang (CIKM, 2012)

A Supervised Aggregation Framework for Multi-Document Summarization. - Yulong Pei; Wenpeng Yin 001; Qifeng Fan; Lian'en Huang (COLING, 2012)

RelationListwise for Query-Focused Multi-Document Summarization. - Wenpeng Yin 001; Lifu Huang; Yulong Pei; Lian'en Huang (COLING, 2012)

SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization. - Wenpeng Yin 001; Yulong Pei; Fan Zhang; Lian'en Huang (COLING, 2012)

Generic Multi-Document Summarization Using Topic-Oriented Information. - Yulong Pei; Wenpeng Yin 001; Lian'en Huang (PRICAI, 2012)

Automatic Multi-document Summarization Based on New Sentence Similarity Measures. - Wenpeng Yin 001; Yulong Pei; Lian'en Huang (PRICAI, 2012)

Community Detection in Multi-relational Social Networks. - Zhiang Wu 001; Wenpeng Yin 001; Jie Cao 001; Guandong Xu; Alfredo Cuzzocrea (WISE (2), 2013)

An Exploration of Embeddings for Generalized Phrases. - Wenpeng Yin 001; Hinrich Schütze (ACL (Student Research Workshop), 2014)

Deep Learning Embeddings for Discontinuous Linguistic Units. - Wenpeng Yin 001; Hinrich Schütze (ICLR (Workshop Poster), 2014)

MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity. - Wenpeng Yin 001; Hinrich Schütze (ACL (1), 2015)

Multichannel Variable-Size Convolution for Sentence Classification. - Wenpeng Yin 001; Hinrich Schütze (CoNLL, 2015)

Online Updating of Word Representations for Part-of-Speech Tagging. - Wenpeng Yin 001; Tobias Schnabel; Hinrich Schütze (EMNLP, 2015)

Optimizing Sentence Modeling and Selection for Document Summarization. - Wenpeng Yin 001; Yulong Pei (IJCAI, 2015)

LCCT: A Semi-supervised Model for Sentiment Classification. - Min Yang 007; Wenting Tu; Ziyu Lu; Wenpeng Yin 001; Kam-Pui Chow (HLT-NAACL, 2015)

Convolutional Neural Network for Paraphrase Identification. - Wenpeng Yin 001; Hinrich Schütze (HLT-NAACL, 2015)

Discriminative Phrase Embedding for Paraphrase Identification. - Wenpeng Yin 001; Hinrich Schütze (HLT-NAACL, 2015)

Learning Word Meta-Embeddings by Using Ensembles of Embedding Sets. - Wenpeng Yin 001; Hinrich Schütze (CoRR, 2015)

Detecting overlapping communities in poly-relational networks. - Zhiang Wu 001; Jie Cao 001; Guixiang Zhu; Wenpeng Yin 001; Alfredo Cuzzocrea; Jin Shi (World Wide Web, 2015)

Learning Word Meta-Embeddings. - Wenpeng Yin 001; Hinrich Schütze (ACL (1), 2016)

Simple Question Answering by Attentive Convolutional Neural Network. - Wenpeng Yin 001; Mo Yu; Bing Xiang; Bowen Zhou 002; Hinrich Schütze (COLING, 2016)

Attention-Based Convolutional Neural Network for Machine Comprehension. - Wenpeng Yin 001; Sebastian Ebert; Hinrich Schütze (CoRR, 2016)

Why and How to Pay Different Attention to Phrase Alignments of Different Intensities. - Wenpeng Yin 001; Hinrich Schütze (CoRR, 2016)

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. - Wenpeng Yin 001; Hinrich Schütze; Bing Xiang; Bowen Zhou 002 (Trans. Assoc. Comput. Linguistics, 2016)

Improved Neural Relation Detection for Knowledge Base Question Answering. - Mo Yu; Wenpeng Yin 001; Kazi Saidul Hasan; Cícero Nogueira dos Santos; Bing Xiang; Bowen Zhou 002 (ACL (1), 2017)

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. - Wenpeng Yin 001; Hinrich Schütze (EACL (1), 2017)

Comparative Study of CNN and RNN for Natural Language Processing. - Wenpeng Yin 001; Katharina Kann; Mo Yu; Hinrich Schütze (CoRR, 2017)

Attentive Convolution. - Wenpeng Yin 001; Hinrich Schütze (CoRR, 2017)

Deep neural networks for identification of sentential relations. - Wenpeng Yin 001 (2017)

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. - Wenpeng Yin 001; Dan Roth 001; Hinrich Schütze (ACL (2), 2018)

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. - Wenpeng Yin 001; Yadollah Yaghoobzadeh; Hinrich Schütze (COLING, 2018)

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. - Wenpeng Yin 001; Dan Roth 001 (EMNLP, 2018)

Term Definitions Help Hypernymy Detection. - Wenpeng Yin 001; Dan Roth 001 (*SEM@NAACL-HLT, 2018)

End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions. - Wenpeng Yin 001; Dan Roth 001; Hinrich Schütze (CoRR, 2018)

Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. - Wenpeng Yin 001; Hinrich Schütze (Trans. Assoc. Comput. Linguistics, 2018)

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. - Wenpeng Yin 001; Jamaal Hay; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. - Sihao Chen; Daniel Khashabi; Wenpeng Yin 001; Chris Callison-Burch; Dan Roth 001 (NAACL-HLT (1), 2019)

An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing. - Jianquan Li; Xiaokang Liu; Wenpeng Yin 001; Min Yang 007; Liqun Ma (CoRR, 2019)

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (COLING, 2020)

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. - Wenpeng Yin 001; Nazneen Fatema Rajani; Dragomir R. Radev; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. - Lichao Sun 001; Kazuma Hashimoto; Wenpeng Yin 001; Akari Asai; Jia Li 015; Philip S. Yu; Caiming Xiong (CoRR, 2020)

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir R. Radev; Richard Socher (CoRR, 2020)

Meta-learning for Few-shot Natural Language Processing: A Survey. - Wenpeng Yin 001 (CoRR, 2020)

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Explaining and Improving Model Behavior with k Nearest Neighbor Representations. - Nazneen Fatema Rajani; Ben Krause; Wenpeng Yin 001; Tong Niu; Richard Socher; Caiming Xiong (CoRR, 2020)

Paired Representation Learning for Event and Entity Coreference. - Xiaodong Yu 003; Wenpeng Yin 001; Dan Roth 001 (CoRR, 2020)

Joint Learning of Question Answering and Question Generation. - Yibo Sun; Duyu Tang; Nan Duan; Tao Qin 001; Shujie Liu 001; Zhao Yan; Ming Zhou 001; Yuanhua Lv; Wenpeng Yin 001; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (IEEE Trans. Knowl. Data Eng., 2020)

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. - Wenpeng Yin 001; Dragomir R. Radev; Caiming Xiong (ACL/IJCNLP (Findings), 2021)

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. - Wenpeng Yin 001; Huan Wang 014; Jin Qu; Caiming Xiong (ACL/IJCNLP (Findings), 2021)

Learning to Synthesize Data for Semantic Parsing. - Bailin Wang; Wenpeng Yin 001; Xi Victoria Lin; Caiming Xiong (NAACL-HLT, 2021)

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. - Congying Xia; Wenpeng Yin 001; Yihao Feng; Philip S. Yu (NAACL-HLT, 2021)

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. - Wenpeng Yin 001; Shelby Heinecke; Jia Li 015; Nitish Shirish Keskar; Michael Jones 002; Shouzhong Shi; Stanislav Georgiev; Kurt Milich; Joseph Esposito; Caiming Xiong (CoRR, 2021)

Empirical evaluation of multi-task learning in deep neural networks for natural language processing. - Jianquan Li; Xiaokang Liu; Wenpeng Yin 001; Min Yang 007; Liqun Ma; Yaohong Jin (Neural Comput. Appl., 2021)

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir Radev; Richard Socher (npj Digit. Medicine, 2021)

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. - Min Yang 007; Wenpeng Yin 001; Qiang Qu; Wenting Tu; Ying Shen 001; Xiaojun Chen 006 (IEEE Trans. Affect. Comput., 2021)

ConTinTin: Continual Learning from Task Instructions. - Wenpeng Yin 001; Jia Li 015; Caiming Xiong (ACL (1), 2022)

OpenStance: Real-world Zero-shot Stance Detection. - Hanzi Xu; Slobodan Vucetic; Wenpeng Yin 001 (CoNLL, 2022)

Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System. - Chang Tian; Wenpeng Yin 001; Marie-Francine Moens (NAACL-HLT (Findings), 2022)

Pairwise Representation Learning for Event Coreference. - Xiaodong Yu 003; Wenpeng Yin 001; Dan Roth 001 (*SEM@NAACL-HLT, 2022)

Converse: A Tree-Based Modular Task-Oriented Dialogue System. - Tian Xie; Xinyi Yang 002; Angela S. Lin; Feihong Wu; Kazuma Hashimoto; Jin Qu; Young Mo Kang; Wenpeng Yin 001; Huan Wang 014; Semih Yavuz; Gang Wu; Michael Jones 002; et al. (CoRR, 2022)

Robustness of Learning from Task Instructions. - Jiasheng Gu; Hanzi Xu; Liangyu Nie; Wenpeng Yin 001 (CoRR, 2022)

Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. - Bangzheng Li; Wenpeng Yin 001; Muhao Chen 001 (Trans. Assoc. Comput. Linguistics, 2022)

Learning to Select from Multiple Options. - Jiangshu Du; Wenpeng Yin 001; Congying Xia; Philip S. Yu (AAAI, 2023)

Robustness of Learning from Task Instructions. - Jiasheng Gu; Hongyu Zhao 006; Hanzi Xu; Liangyu Nie; Hongyuan Mei; Wenpeng Yin 001 (ACL (Findings), 2023)

Indirectly Supervised Natural Language Processing. - Wenpeng Yin 001; Muhao Chen 001; Ben Zhou; Qiang Ning; Kai-Wei Chang; Dan Roth 001 (ACL (tutorial), 2023)

Event Linking: Grounding Event Mentions to Wikipedia. - Xiaodong Yu 003; Wenpeng Yin 001; Nitish Gupta; Dan Roth 001 (EACL, 2023)

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. - Sarkar Snigdha Sarathi Das; Haoran Zhang 004; Peng Shi 010; Wenpeng Yin 001; Rui Zhang 037 (EMNLP, 2023)

Data Augmentation for Text Classification with EASE. - A M. Muntasir Rahman; Wenpeng Yin 001; Guiling Wang 001 (ICNLSP, 2023)

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. - Jiangshu Du; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu (IJCNLP (2), 2023)

Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning. - Renze Lou; Kai Zhang 033; Wenpeng Yin 001 (CoRR, 2023)

Forget Demonstrations, Focus on Learning from Textual Instructions. - Renze Lou; Wenpeng Yin 001 (CoRR, 2023)

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. - Jiaxu Zhao 002; Meng Fang; Shirui Pan; Wenpeng Yin 001; Mykola Pechenizkiy (CoRR, 2023)

Identifying social norm violation in movie plots: from Borat to American Pie. - Yair Neuman; Yochai Cohen; Wenpeng Yin 001 (Digit. Scholarsh. Humanit., 2023)

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. - Zihao Lin 003; Mohammad Beigi; Hongxuan Li; Yufan Zhou 001; Yuxiang Zhang; Qifan Wang 001; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

Multimodal Instruction Tuning with Conditional Mixture of LoRA. - Ying Shen 001; Zhiyang Xu; Qifan Wang 001; Yu Cheng; Wenpeng Yin 001; Lifu Huang (ACL (1), 2024)

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. - Congying Xia; Chen Xing; Jiangshu Du; Xinyi Yang 002; Yihao Feng; Ran Xu 001; Wenpeng Yin 001; Caiming Xiong (ACL (1), 2024)

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. - Hanzi Xu; Muhao Chen 001; Lifu Huang; Slobodan Vucetic; Wenpeng Yin 001 (ACL (Findings), 2024)

Contrastive Instruction Tuning. - Tianyi Yan; Fei Wang 060; James Y. Huang; Wenxuan Zhou; Fan Yin; Aram Galstyan; Wenpeng Yin 001; Muhao Chen 001 (ACL (Findings), 2024)

Large Language Models for Mathematical Reasoning: Progresses and Challenges. - Janice Ahn; Rishu Verma; Renze Lou; Di Liu; Rui Zhang 037; Wenpeng Yin 001 (EACL (Student Research Workshop), 2024)

Toward Zero-Shot Instruction Following. - Renze Lou; Wenpeng Yin 001 (EACL (Student Research Workshop), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

A Generic Method for Fine-grained Category Discovery in Natural Language Texts. - Chang Tian; Matthew B. Blaschko; Wenpeng Yin 001; Mingzhe Xing; Yinliang Yue; Marie-Francine Moens (EMNLP, 2024)

Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management. - Jingyi Gu; Junyi Ye; Guiling Wang 001; Wenpeng Yin 001 (ICAIF, 2024)

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following. - Renze Lou; Kai Zhang 033; Jian Xie; Yuxuan Sun 002; Janice Ahn; Hanzi Xu; Yu Su 001; Wenpeng Yin 001 (ICLR, 2024)

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking. - Ibraheem Muhammad Moosa; Rui Zhang 037; Wenpeng Yin 001 (ICLR, 2024)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-Shot Named Entity Recognition. - Chang Tian; Wenpeng Yin 001; Dan Li; Marie-Francine Moens (IEEE Access, 2024)

Large Language Model Instruction Following: A Survey of Progresses and Challenges. - Renze Lou; Kai Zhang 033; Wenpeng Yin 001 (Comput. Linguistics, 2024)

Evaluating LLMs at Detecting Errors in LLM Responses. - Ryo Kamoi; Sarkar Snigdha Sarathi Das; Renze Lou; Jihyun Janice Ahn; Yilun Zhao 001; Xiaoxin Lu; Nan Zhang; Yusen Zhang 001; Ranran Haoran Zhang; Sujeeth Reddy Vummanthala; Salika Dave; Shaobo Qin; et al. (CoRR, 2024)

Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models. - Philip Wootaek Shin; Jihyun Janice Ahn; Wenpeng Yin 001; Jack Sampson; Vijaykrishnan Narayanan (CoRR, 2024)

LLMs' Classification Performance is Overclaimed. - Hanzi Xu; Renze Lou; Jiangshu Du; Vahid Mahzoon; Elmira Talebianaraki; Zhuoan Zhou; Elizabeth Garrison; Slobodan Vucetic; Wenpeng Yin 001 (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation. - Jihyun Janice Ahn; Ryo Kamoi; Lu Cheng 001; Rui Zhang 037; Wenpeng Yin 001 (CoRR, 2024)

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (CoRR, 2024)

From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems. - A M. Muntasir Rahman; Junyi Ye; Wei Yao; Wenpeng Yin 001; Grace Guiling Wang (CoRR, 2024)

AAAR-1.0: Assessing AI's Potential to Assist Research. - Renze Lou; Hanzi Xu; Sijia Wang; Jiangshu Du; Ryo Kamoi; Xiaoxin Lu; Jian Xie; Yuxuan Sun 002; Yusen Zhang 001; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; et al. (CoRR, 2024)

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems. - Junyi Ye; Jingyi Gu; Xinyun Zhao; Wenpeng Yin 001; Grace Guiling Wang (AAAI, 2025)

Exploring Language Model Generalization in Low-Resource Extractive QA. - Saptarshi Sengupta; Wenpeng Yin 001; Preslav Nakov; Shreya Ghosh 002; Suhang Wang (COLING, 2025)

TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. - Saptarshi Sengupta; Connor T. Heaton; Shreya Ghosh 002; Wenpeng Yin 001; Preslav Nakov; Suhang Wang (COLING, 2025)

Catastrophic Failure of LLM Unlearning via Quantization. - Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (ICLR, 2025)

Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding. - Junyi Ye; Ankan Dash; Wenpeng Yin 001; Guiling Wang 001 (NAACL (Long Papers), 2025)

Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing. - Jihyun Janice Ahn; Wenpeng Yin 001 (CoRR, 2025)

Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Hongchao Fang; Yixin Liu 002; Jiangshu Du; Can Qin; Ran Xu 001; Feng Liu; Lichao Sun 001; Dongwon Lee; Lifu Huang; Wenpeng Yin 001 (CoRR, 2025)

Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation. - Xiaofan Zhou; Liangjie Huang; Pinyang Cheng; Wenpeng Yin 001; Rui Zhang 037; Wenrui Hao; Lu Cheng 001 (CoRR, 2025)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? - Yusen Zhang 001; Wenliang Zheng; Aashrith Madasu; Peng Shi 010; Ryo Kamoi; Hao Zhou; Zhuoyang Zou; Shu Zhao; Sarkar Snigdha Sarathi Das; Vipul Gupta; Xiaoxin Lu; Nan Zhang; et al. (CoRR, 2025)

SIM: A mapping framework for built environment auditing based on street view imagery. - Huan Ning; Zhenlong Li; Manzhu Yu; Wenpeng Yin 001 (CoRR, 2025)

Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? - Zewen Liu 005; Juntong Ni; Xianfeng Tang; Max S. Y. Lau; Wenpeng Yin 001; Wei Jin 009 (CoRR, 2025)