Riedel, Sebastian

29 publications

JMLR 2023 Atlas: Few-Shot Learning with Retrieval Augmented Language Models Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave

ICLR 2023 Can Discrete Information Extraction Prompts Generalize Across Language Models? Nathanaël Carraz Rakotonirina, Roberto Dessi, Fabio Petroni, Sebastian Riedel, Marco Baroni

NeurIPS 2023 Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe

ICLR 2023 PEER: A Collaborative Language Model Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel

NeurIPS 2022 Autoregressive Search Engines: Generating Substrings as Document Identifiers Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni

NeurIPS 2022 ReFactor GNNs: Revisiting Factorisation-Based Models from a Message-Passing Perspective Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel

TMLR 2022 Unsupervised Dense Information Retrieval with Contrastive Learning Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

ICLR 2021 Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval Wenhan Xiong, Xiang Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz

ICLR 2021 Autoregressive Entity Retrieval Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni

AAAI 2020 Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette

ICML 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

NeurIPS 2020 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela

AAAI 2018 Convolutional 2D Knowledge Graph Embeddings Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

ICMLW 2018 Towards Neural Theorem Proving at Scale Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel, Sebastian Riedel

UAI 2017 Adversarial Sets for Regularising Neural Link Predictors Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel

NeurIPS 2017 End-to-End Differentiable Proving Tim Rocktäschel, Sebastian Riedel

ICLR 2017 Frustratingly Short Attention Spans in Neural Language Modeling Michal Daniluk, Tim Rocktäschel, Johannes Welbl, Sebastian Riedel

JMLR 2017 Knowledge Graph Completion via Complex Tensor Factorization Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard

ICML 2017 Programming with a Differentiable Forth Interpreter Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel

ICLR 2017 Programming with a Differentiable Forth Interpreter Matko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel

ICML 2016 Complex Embeddings for Simple Link Prediction Théo Trouillon, Johannes Welbl, Sebastian Riedel, Eric Gaussier, Guillaume Bouchard

AAAI 2016 Creating Interactive and Visual Educational Resources for AI Sameer Singh, Sebastian Riedel

UAI 2014 Message Passing for Soft Constraint Dual Decomposition David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum

UAI 2013 Automorphism Groups of Graphical Models and Lifted Variational Inference Hung Bui, Tuyen N. Huynh, Sebastian Riedel

ICLR 2013 Latent Relation Representations for Universal Schemas Sebastian Riedel, Limin Yao, Andrew McCallum

NeurIPS 2012 MAP Inference in Chains Using Column Generation David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum

UAI 2010 Inference by Minimizing Size, Divergence, or Their Sum Sebastian Riedel, David A. Smith, Andrew McCallum

ECML-PKDD 2010 Modeling Relations and Their Mentions Without Labeled Text Sebastian Riedel, Limin Yao, Andrew McCallum

UAI 2008 Improving the Accuracy and Efficiency of MAP Inference for Markov Logic Sebastian Riedel