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Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints


Jul 05, 2021
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

* 7 pages, 1 figure, to be published in ACL-IJCNLP 2021 

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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models


Jul 01, 2021
Robert L. Logan IV, Ivana Bala┼żevi─ç, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel


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Database Reasoning Over Text


Jun 02, 2021
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy

* To appear at ACL2021 

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Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity


Apr 18, 2021
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp


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Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation


Apr 18, 2021
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela


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Dynabench: Rethinking Benchmarking in NLP


Apr 07, 2021
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

* NAACL 2021 

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Multilingual Autoregressive Entity Linking


Mar 23, 2021
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni

* 20 pages, 8 figures, and 11 tables 

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Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks


Mar 10, 2021
Yunlei Shi, Zhaopeng Chen, Yansong Wu, Dimitri Henkel, Sebastian Riedel, Hongxu Liu, Qian Feng, Jianwei Zhang

* 8 pages, 7 figures, IROS2021 submission 

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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them


Feb 13, 2021
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich K├╝ttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel


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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned


Jan 01, 2021
Sewon Min, Jordan 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 Lewis, Yuxiang Wu, Heinrich K├╝ttler, 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 Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

* 26 pages 

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A Memory Efficient Baseline for Open Domain Question Answering


Dec 30, 2020
Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave


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Joint Verification and Reranking for Open Fact Checking Over Tables


Dec 30, 2020
Michael Schlichtkrull, Vladimir Karpukhin, Barlas O─čuz, Mike Lewis, Wen-tau Yih, Sebastian Riedel


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Generating Fact Checking Briefs


Nov 10, 2020
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel


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Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering


Nov 10, 2020
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp

* 11 pages, 9 figures, presented in EMNLP 2020 main conference and SustaiNLP 2020 workshop 

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Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot


Oct 25, 2020
Yunlei Shi, Zhaopeng Chen, Hongxu Liu, Sebastian Riedel, Chunhui Gao, Qian Feng, Jun Deng, Jianwei Zhang

* 6 pages 

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Neural Databases


Oct 14, 2020
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy

* Submitted to PVLDB vol 14 

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Autoregressive Entity Retrieval


Oct 02, 2020
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni

* 18 pages, 6 figures, 8 tables 

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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval


Sep 27, 2020
Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas O─čuz


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KILT: a Benchmark for Knowledge Intensive Language Tasks


Sep 04, 2020
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rockt├Ąschel, Sebastian Riedel


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Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets


Aug 06, 2020
Patrick Lewis, Pontus Stenetorp, Sebastian Riedel


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Learning Reasoning Strategies in End-to-End Differentiable Proving


Jul 14, 2020
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rockt├Ąschel

* Proceedings of the 37th International Conference on Machine Learning (ICML 2020) 

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Concept Matching for Low-Resource Classification


Jun 01, 2020
Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel


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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks


May 22, 2020
Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K├╝ttler, Mike Lewis, Wen-tau Yih, Tim Rockt├Ąschel, Sebastian Riedel, Douwe Kiela


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TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data


May 17, 2020
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel

* To Appear at ACL 2020 

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How Context Affects Language Models' Factual Predictions


May 10, 2020
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rockt├Ąschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel

* accepted at AKBC 2020 

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AxCell: Automatic Extraction of Results from Machine Learning Papers


Apr 29, 2020
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic


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There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training


Apr 27, 2020
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rockt├Ąschel

* 8 pages 

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