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2020 – today
- 2023
[i64]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 abs/2301.12652 (2023)- [i63]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 abs/2302.07452 (2023) - [i62]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 abs/2302.08468 (2023) - 2022
- [c103]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) 2022: 3128-3139 - [c102]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c101]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: 250-262 - [c100]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: 3781-3797 - [c99]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [c98]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) 2022: 1535-1546 - [c97]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT 2022: 1975-1986 - [c96]Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Scott Yih, Sonal Gupta, Xilun Chen:
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. NAACL-HLT (Findings) 2022: 2402-2420 - [c95]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel:
Boosted Dense Retriever. NAACL-HLT 2022: 3102-3117 - [c94]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT 2022: 4207-4218 - [c93]Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad:
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR 2022: 1208-1218 - [i61]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 abs/2204.05999 (2022) - [i60]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 abs/2204.07496 (2022) - [i59]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 abs/2204.10298 (2022) - [i58]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR abs/2204.10628 (2022) - [i57]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 abs/2205.02014 (2022) - [i56]Chi-Liang Liu, Hung-yi Lee, Wen-tau Yih:
Structured Prompt Tuning. CoRR abs/2205.12309 (2022) - [i55]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. CoRR abs/2205.13016 (2022) - [i54]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR abs/2209.10052 (2022) - [i53]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR abs/2210.14353 (2022) - [i52]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 abs/2211.09260 (2022) - [i51]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 abs/2211.10411 (2022) - [i50]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022) - [i49]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 abs/2211.12561 (2022) - [i48]Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang:
Coder Reviewer Reranking for Code Generation. CoRR abs/2211.16490 (2022) - [i47]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. CoRR abs/2212.01349 (2022) - [i46]Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz:
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences. CoRR abs/2212.09726 (2022) - [i45]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 abs/2212.09741 (2022) - 2021
- [c92]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: 1098-1111 - [c91]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: 6618-6633 - [c90]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: 6787-6799 - [c89]Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. EMNLP (1) 2021: 3712-3727 - [c88]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: 7190-7202 - [c87]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c86]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: 1280-1287 - [c85]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. NAACL-HLT 2021: 5479-5485 - [e7]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. Association for Computational Linguistics 2021 [contents] - [e6]Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih:
Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. Association for Computational Linguistics 2021 [contents] - [i44]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR abs/2101.00117 (2021) - [i43]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 abs/2101.00133 (2021) - [i42]Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa:
On Unifying Misinformation Detection. CoRR abs/2104.05243 (2021) - [i41]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 abs/2104.08840 (2021) - [i40]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 abs/2106.00872 (2021) - [i39]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 abs/2107.13602 (2021) - [i38]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 abs/2110.06918 (2021) - [i37]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 abs/2110.07577 (2021) - [i36]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 abs/2110.07731 (2021) - [i35]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 abs/2112.07210 (2021) - [i34]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. CoRR abs/2112.07771 (2021) - [i33]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. 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 abs/2112.09924 (2021) - 2020
- [c84]Danqi Chen, Wen-tau Yih:
Open-Domain Question Answering. ACL (tutorial) 2020: 34-37 - [c83]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL 2020: 8413-8426 - [c82]Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) 2020: 2555-2565 - [c81]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: 6433-6441 - [c80]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: 6769-6781 - [c79]Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su:
An Imitation Game for Learning Semantic Parsers from User Interaction. EMNLP (1) 2020: 6883-6902 - [c78]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. EMNLP (1) 2020: 8864-8880 - [c77]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 - [c76]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 - [c75]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: 86-111 - [i32]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. CoRR abs/2002.09758 (2020) - [i31]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2004.04906 (2020) - [i30]Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su:
An Imitation Game for Learning Semantic Parsers from User Interaction. CoRR abs/2005.00689 (2020) - [i29]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR abs/2005.08314 (2020) - [i28]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 abs/2005.11401 (2020) - [i27]Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa:
Language Models as Fact Checkers? CoRR abs/2006.04102 (2020) - [i26]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 abs/2009.12756 (2020) - [i25]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR abs/2010.02413 (2020) - [i24]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR abs/2010.10757 (2020) - [i23]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR abs/2012.14610 (2020) - [i22]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 abs/2012.15115 (2020) - [i21]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 abs/2012.15482 (2020) - [i20]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 abs/2012.15856 (2020)
2010 – 2019
- 2019
- [c74]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI 2019: 7063-7071 - [c73]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: 4495-4504 - [c72]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: 5446-5457 - [c71]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) 2019 - [c70]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: 2347-2356 - [i19]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 abs/1906.08942 (2019) - [i18]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. CoRR abs/1908.05739 (2019) - [i17]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 abs/1909.04745 (2019) - [i16]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 abs/1910.05389 (2019) - [i15]Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang:
Blockwise Self-Attention for Long Document Understanding. CoRR abs/1911.02972 (2019) - 2018
- [c69]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. AAAI 2018: 5110-5117 - [c68]Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018: 57-66 - [c67]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP 2018: 1499-1509 - [c66]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [c65]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP 2018: 2442-2452 - [c64]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: 732-738 - [c63]Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. NAACL-HLT 2018: 1595-1604 - [i14]Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He:
Natural Language to Structured Query Generation via Meta-Learning. CoRR abs/1803.02400 (2018) - [i13]Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. CoRR abs/1805.06975 (2018) - [i12]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i11]Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR abs/1808.08949 (2018) - [i10]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 abs/1808.10012 (2018) - [i9]Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR abs/1809.01299 (2018) - [i8]Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih:
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR abs/1810.06683 (2018) - [i7]Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal:
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR abs/1811.08048 (2018) - 2017
- [j3]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics 5: 101-115 (2017) - [c62]Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
NLP for Precision Medicine. ACL (Tutorial Abstracts) 2017: 1-2 - [c61]Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) 2017: 1821-1831 - [c60]Haoruo Peng, Ming-Wei Chang, Wen-tau Yih:
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP 2017: 2368-2378 - [e5]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - [i6]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. CoRR abs/1702.01932 (2017) - [i5]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR abs/1708.03743 (2017) - 2016
- [c59]Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk:
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) 2016 - [c58]Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh:
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) 2016 - [c57]Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP 2016: 297-306 - [c56]Wen-tau Yih, Hao Ma:
Question Answering with Knowledge Base, Web and Beyond. HLT-NAACL Tutorials 2016: 8-10