Wen-tau Yih
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
101
Venues
13
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
101 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? | Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong |
| 2025 | ACL | Improving Factuality with Explicit Working Memory. | Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih |
| 2025 | ACL | DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. | Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen |
| 2025 | EMNLP | PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. | Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong |
| 2025 | EMNLP | ImpRAG: Retrieval-Augmented Generation with Implicit Queries. | Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen |
| 2025 | ICML | Memory Layers at Scale. | Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh |
| 2025 | ICML | SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. | Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-Wen Li, Wen-tau Yih |
| 2024 | ACL | Instruction-tuned Language Models are Better Knowledge Learners. | Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodrguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer |
| 2024 | EACL | Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. | Mingda Chen, Xilun Chen, Wen-tau Yih |
| 2024 | EMNLP | Altogether: Image Captioning via Re-aligning Alt-text. | Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer |
| 2024 | ICLR | RA-DIT: Retrieval-Augmented Dual Instruction Tuning. | Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | ICLR | In-Context Pretraining: Language Modeling Beyond Document Boundaries. | Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | REPLUG: Retrieval-Augmented Black-Box Language Models. | Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2023 | ACL | Task-aware Retrieval with Instructions. | Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih |
| 2023 | ACL | Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. | Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James R. Glass |
| 2023 | ACL | CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. | Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | One Embedder, Any Task: Instruction-Finetuned Text Embeddings. | Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2023 | ACL | Reimagining Retrieval Augmented Language Models for Answering Queries. | Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih |
| 2023 | ACL | Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. | Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao |
| 2023 | EMNLP | How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. | Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen |
| 2023 | EMNLP | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. | Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | EMNLP | RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. | Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer |
| 2022 | EMNLP | Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? | Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih |
| 2022 | EMNLP | Improving Passage Retrieval with Zero-Shot Question Generation. | Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer |
| 2021 | ACL | On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. | Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih |
| 2021 | ACL | Multi-Task Retrieval for Knowledge-Intensive Tasks. | Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh |
| 2021 | ACL | Joint Verification and Reranking for Open Fact Checking Over Tables. | Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel |
| 2021 | EMNLP | On the Influence of Masking Policies in Intermediate Pre-training. | Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa |
| 2021 | NAACL | RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. | Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih |
| 2021 | NAACL | On Unifying Misinformation Detection. | Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa |
| 2020 | ACL | Open-Domain Question Answering. | Danqi Chen, Wen-tau Yih |
| 2020 | ACL | TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. | Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel |
| 2020 | EMNLP | Dense Passage Retrieval for Open-Domain Question Answering. | Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih |
| 2020 | EMNLP | Efficient One-Pass End-to-End Entity Linking for Questions. | Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih |
| 2020 | EMNLP | Unsupervised Question Decomposition for Question Answering. | Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela |
| 2020 | EMNLP | Blockwise Self-Attention for Long Document Understanding. | Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang |
| 2020 | EMNLP | An Imitation Game for Learning Semantic Parsers from User Interaction. | Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su |
| 2020 | ICLR | Abductive Commonsense Reasoning. | Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi |
| 2019 | AAAI | QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. | Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal |
| 2019 | EMNLP | Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. | Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark |
| 2019 | EMNLP | Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. | Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih |
| 2019 | ICLR | FlowQA: Grasping Flow in History for Conversational Machine Comprehension. | Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih |
| 2019 | NAACL | Be Consistent! Improving Procedural Text Comprehension using Label Consistency. | Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie |
| 2018 | AAAI | A Knowledge-Grounded Neural Conversation Model. | Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley |
| 2018 | EMNLP | QuAC: Question Answering in Context. | Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer |
| 2018 | EMNLP | Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. | Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih |
| 2018 | EMNLP | Dissecting Contextual Word Embeddings: Architecture and Representation. | Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih |
| 2018 | EMNLP | Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. | Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark |
| 2018 | NAACL | Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. | Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark |
| 2018 | NAACL | Natural Language to Structured Query Generation via Meta-Learning. | Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He |
| 2017 | ACL | Search-based Neural Structured Learning for Sequential Question Answering. | Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang |
| 2017 | ACL | NLP for Precision Medicine. | Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih |
| 2017 | EMNLP | Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. | Haoruo Peng, Ming-Wei Chang, Wen-tau Yih |
| 2016 | ACL | Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. | Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk |
| 2016 | ACL | The Value of Semantic Parse Labeling for Knowledge Base Question Answering. | Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh |
| 2016 | EMNLP | Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. | Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih |
| 2016 | NAACL | Question Answering with Knowledge Base, Web and Beyond. | Wen-tau Yih, Hao Ma |
| 2016 | WWW | Table Cell Search for Question Answering. | Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan |
| 2016 | SIGIR | Question Answering with Knowledge Base, Web and Beyond. | Wen-tau Yih, Hao Ma |
| 2015 | ACL | Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. | Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao |
| 2015 | EMNLP | WikiQA: A Challenge Dataset for Open-Domain Question Answering. | Yi Yang, Wen-tau Yih, Christopher Meek |
| 2015 | NAACL | Deep Learning and Continuous Representations for Natural Language Processing. | Wen-tau Yih, Xiaodong He, Jianfeng Gao |
| 2015 | WWW | Open Domain Question Answering via Semantic Enrichment. | Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang |
| 2015 | WWW | Questions vs. Queries in Informational Search Tasks. | Ryen W. White, Matthew Richardson, Wen-tau Yih |
| 2014 | ACL | Learning Continuous Phrase Representations for Translation Modeling. | Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng |
| 2014 | ACL | Semantic Parsing for Single-Relation Question Answering. | Wen-tau Yih, Xiaodong He, Christopher Meek |
| 2014 | EMNLP | Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. | Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek |
| 2013 | ACL | Question Answering Using Enhanced Lexical Semantic Models. | Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak |
| 2013 | EMNLP | Multi-Relational Latent Semantic Analysis. | Kai-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2013 | EMNLP | Animacy Detection with Voting Models. | Joshua L. Moore, Christopher J. C. Burges, Erin Renshaw, Wen-tau Yih |
| 2013 | NAACL | Linguistic Regularities in Continuous Space Word Representations. | Toms Mikolov, Wen-tau Yih, Geoffrey Zweig |
| 2013 | NAACL | Combining Heterogeneous Models for Measuring Relational Similarity. | Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Toms Mikolov |
| 2012 | EMNLP | Polarity Inducing Latent Semantic Analysis. | Wen-tau Yih, Geoffrey Zweig, John C. Platt |
| 2012 | NAACL | MSR SPLAT, a language analysis toolkit. | Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende |
| 2012 | NAACL | Measuring Word Relatedness Using Heterogeneous Vector Space Models. | Wen-tau Yih, Vahed Qazvinian |
| 2011 | CoNLL | Learning Discriminative Projections for Text Similarity Measures. | Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek |
| 2011 | IJCAI | Domain Adaptation with Ensemble of Feature Groups. | Rajhans Samdani, Wen-tau Yih |
| 2011 | SIGIR | Clickthrough-based latent semantic models for web search. | Jianfeng Gao, Kristina Toutanova, Wen-tau Yih |
| 2010 | EMNLP | Translingual Document Representations from Discriminative Projections. | John C. Platt, Kristina Toutanova, Wen-tau Yih |
| 2010 | SIGIR | Adaptive near-duplicate detection via similarity learning. | Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz |
| 2009 | EMNLP | Learning Term-weighting Functions for Similarity Measures. | Wen-tau Yih |
| 2008 | KDD | Partitioned logistic regression for spam filtering. | Ming-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2007 | AAAI | Improving Similarity Measures for Short Segments of Text. | Wen-tau Yih, Christopher Meek |
| 2007 | IJCAI | Multi-Document Summarization by Maximizing Informative Content-Words. | Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki |
| 2007 | KDD | Raising the baseline for high-precision text classifiers. | Aleksander Kolcz, Wen-tau Yih |
| 2006 | ACL | Improved Discriminative Bilingual Word Alignment. | Robert C. Moore, Wen-tau Yih, Andreas Bode |
| 2006 | NAACL | Automatic Semantic Role Labeling. | Wen-tau Yih, Kristina Toutanova |
| 2006 | WWW | Finding advertising keywords on web pages. | Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho |
| 2005 | CoNLL | Generalized Inference with Multiple Semantic Role Labeling Systems. | Peter Koomen, Vasin Punyakanok, Dan Roth, Wen-tau Yih |
| 2005 | ICML | Integer linear programming inference for conditional random fields. | Dan Roth, Wen-tau Yih |
| 2005 | IJCAI | The Necessity of Syntactic Parsing for Semantic Role Labeling. | Vasin Punyakanok, Dan Roth, Wen-tau Yih |
| 2005 | IJCAI | Learning and Inference over Constrained Output. | Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak |
| 2005 | NAACL | Demonstrating an Interactive Semantic Role Labeling System. | Vasin Punyakanok, Dan Roth, Mark Sammons, Wen-tau Yih |
| 2004 | COLING | Semantic Role Labeling Via Integer Linear Programming Inference. | Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak |
| 2004 | CoNLL | Semantic Role Labeling Via Generalized Inference Over Classifiers. | Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak, Yuancheng Tu |
| 2004 | CoNLL | A Linear Programming Formulation for Global Inference in Natural Language Tasks. | Dan Roth, Wen-tau Yih |
| 2002 | COLING | Probabilistic Reasoning for Entity & Relation Recognition. | Dan Roth, Wen-tau Yih |
| 2001 | IJCAI | Relational Learning via Propositional Algorithms: An Information Extraction Case Study. | Dan Roth, Wen-tau Yih |
| 1997 | AAAI | Template-Based Information Mining from HTML Documents. | Jane Yung-jen Hsu, Wen-tau Yih |