Wen-tau Yih

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 131

Top Venues

CoRR

EMNLP

ACL (1)

ACL (Findings)

Publications

Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
FLAME: Factuality-Aware Alignment for Large Language Models. CoRR (2024)
Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR (2024)
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
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR (2024)
Mingda Chen, Xilun Chen, Wen-tau Yih
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. EACL (1) (2024)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR (2024)
Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
CRAG - Comprehensive RAG Benchmark. CoRR (2024)
Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih
Reliable, Adaptable, and Attributable Language Models with Retrieval. CoRR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) (2024)
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
Instruction-tuned Language Models are Better Knowledge Learners. CoRR (2024)
Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR (2024)
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP (2023)
Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR (2023)
Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. CoRR (2023)
Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James R. Glass
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. ACL (Findings) (2023)
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR (2023)
Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, James R. Glass
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. CoRR (2023)
Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li
Large Language Model Programs. CoRR (2023)
Mingda Chen, Xilun Chen, Wen-tau Yih
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR (2023)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) (2023)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
Nonparametric Masked Language Modeling. ACL (Findings) (2023)
Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR (2023)
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR (2023)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) (2023)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. ACL (1) (2023)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR (2023)
Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
Task-aware Retrieval with Instructions. ACL (Findings) (2023)
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) (2023)
Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. ACL (1) (2023)
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih
Reimagining Retrieval Augmented Language Models for Answering Queries. ACL (Findings) (2023)
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR (2022)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) (2022)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
Nonparametric Masked Language Modeling. CoRR (2022)
Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR (2022)
Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang
Coder Reviewer Reranking for Code Generation. CoRR (2022)
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR (2022)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP (2022)
Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
Task-aware Retrieval with Instructions. CoRR (2022)
Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR (2022)
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis
InCoder: A Generative Model for Code Infilling and Synthesis. CoRR (2022)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR (2022)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. CoRR (2022)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR (2022)
Chi-Liang Liu, Hung-yi Lee, Wen-tau Yih
Structured Prompt Tuning. CoRR (2022)
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
Retrieval-Augmented Multimodal Language Modeling. CoRR (2022)
Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR (2022)
Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR (2021)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) (2021)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) (2021)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. CoRR (2021)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) (2021)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR (2021)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR (2021)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
On Unifying Misinformation Detection. CoRR (2021)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
On Unifying Misinformation Detection. NAACL-HLT (2021)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
Boosted Dense Retriever. CoRR (2021)
Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR (2021)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. ACL/IJCNLP (1) (2021)
Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR (2021)
Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR (2021)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
On the Influence of Masking Policies in Intermediate Pre-training. CoRR (2021)
Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT (2021)
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR (2021)
Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela
Unsupervised Question Decomposition for Question Answering. EMNLP (1) (2020)
Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su
An Imitation Game for Learning Semantic Parsers from User Interaction. CoRR (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL (2020)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. CoRR (2020)
Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR (2020)
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) (2020)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS (2020)
Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa
Language Models as Fact Checkers? CoRR (2020)
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
Abductive Commonsense Reasoning. ICLR (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR (2020)
Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) (2020)
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR (2020)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR (2020)
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) (2020)
Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela
Unsupervised Question Decomposition for Question Answering. CoRR (2020)
Danqi Chen, Wen-tau Yih
Open-Domain Question Answering. ACL (tutorial) (2020)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
Studying Strategically: Learning to Mask for Closed-book QA. CoRR (2020)
Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su
An Imitation Game for Learning Semantic Parsers from User Interaction. EMNLP (1) (2020)
Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR (2020)
Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR (2020)
Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. EMNLP/IJCNLP (1) (2019)
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) (2019)
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI (2019)
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) (2019)
Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR (2019)
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. CoRR (2019)
Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. CoRR (2019)
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) (2019)
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR (2018)
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
QuAC : Question Answering in Context. CoRR (2018)
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
Natural Language to Structured Query Generation via Meta-Learning. CoRR (2018)
Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR (2018)
Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) (2018)
Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wen-tau Yih