Sebastian Riedel

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 195

Top Venues

CoRR

EMNLP

EMNLP (1)

NAACL-HLT

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Yao Lu, Jiayi Wang, Sebastian Riedel, Pontus Stenetorp
Prompt Optimisation with Random Sampling. CoRR (2023)
Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR (2023)
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
Can discrete information extraction prompts generalize across language models? ICLR (2023)
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24 (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5 (10) (2023)
Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS (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)
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
Can discrete information extraction prompts generalize across language models? CoRR (2023)
Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. ICLR (2023)
Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp
Query Expansion Using Contextual Clue Sampling with Language Models. CoRR (2022)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10 (2022)
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT (2022)
Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. NAACL-HLT (2022)
Amrith Krishna, Sebastian Riedel, Andreas Vlachos
ProoFVer: Natural Logic Theorem Proving for Fact Verification. Trans. Assoc. Comput. Linguistics 10 (2022)
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR (2022)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia Verifiability with AI. CoRR (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. CoRR (2022)
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR (2022)
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Few-shot Learning with Retrieval Augmented Language Models. CoRR (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)
Yuval Kirstain, Patrick S. H. Lewis, Sebastian Riedel, Omer Levy
A Few More Examples May Be Worth Billions of Parameters. EMNLP (Findings) (2022)
Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
Open Vocabulary Extreme Classification Using Generative Models. CoRR (2022)
Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. 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)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS (2022)
Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani
Open Vocabulary Extreme Classification Using Generative Models. ACL (Findings) (2022)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) (2022)
Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR (2022)
Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS (2022)
Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick 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)
Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) (2022)
Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel
Boosted Dense Retriever. NAACL-HLT (2022)
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. ACL (1) (2022)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR (2022)
Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. EACL (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
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. 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)
Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp
Challenges in Generalization in Open Domain Question Answering. CoRR (2021)
Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel
Concept Matching for Low-Resource Classification. IJCNN (2021)
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)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR (2021)
Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. CoRR (2021)
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Autoregressive Entity Retrieval. ICLR (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
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni
Multilingual Autoregressive Entity Linking. CoRR (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR (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)
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Levy
From Natural Language Processing to Neural Databases. Proc. VLDB Endow. 14 (6) (2021)
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. CoRR (2021)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9 (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)
Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. CoRR (2021)
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. EMNLP (1) (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)
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
Database reasoning over text. ACL/IJCNLP (1) (2021)
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
Database Reasoning Over Text. CoRR (2021)
Yuval Kirstain, Patrick Lewis, Sebastian Riedel, Omer Levy
A Few More Examples May Be Worth Billions of Parameters. CoRR (2021)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR (2021)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. ACL/IJCNLP (2) (2021)
Amrith Krishna, Sebastian Riedel, Andreas Vlachos
ProoFVer: Natural Logic Theorem Proving for Fact Verification. CoRR (2021)
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer
Scalable Zero-shot Entity Linking with Dense Entity Retrieval. EMNLP (1) (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL (2020)
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension. Trans. Assoc. Comput. Linguistics 8 (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. CoRR (2020)
Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk
MLQA: Evaluating Cross-lingual Extractive Question Answering. ACL (2020)
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy
Neural Databases. 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)
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel
KILT: a Benchmark for Knowledge Intensive Language Tasks. 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)
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)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. CoRR (2020)
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. AKBC (2020)
Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
A Memory Efficient Baseline for Open Domain Question Answering. CoRR (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) (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)
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension. CoRR (2020)
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
How Context Affects Language Models' Factual Predictions. CoRR (2020)
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
Generating Fact Checking Briefs. EMNLP (1) (2020)
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI (2020)
Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. CoRR (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. EMNLP (1) (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR (2020)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. SustaiNLP@EMNLP (2020)
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Autoregressive Entity Retrieval. CoRR (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) (2020)
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
How Decoding Strategies Affect the Verifiability of Generated Text. EMNLP (Findings) (2020)
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic
AxCell: Automatic Extraction of Results from Machine Learning Papers. EMNLP (1) (2020)
Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel
Concept Matching for Low-Resource Classification. CoRR (2020)
Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel
Generating Fact Checking Briefs. CoRR (2020)

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Publication Activity (10 Years)

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Sebastian Riedel