Sebastian Riedel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
109
Venues
20
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
109 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? | Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva |
| 2025 | EMNLP | How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? | Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva |
| 2025 | NAACL | LOFT: Scalable and More Realistic Long-Context Evaluation. | Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sbastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu |
| 2024 | ACL | Do Large Language Models Latently Perform Multi-Hop Reasoning? | Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel |
| 2024 | INDIN | Intuitive Instruction of Robot Systems: Semantic Integration of Standardized Skill Interfaces. | Junsheng Ding, Ingmar Kessler, Alexander Perzylo, Markus Knauer, Andreas Dmel, Christoph Willibald, Sebastian Riedel, Stefan Profanter, Sebastian G. Brunner, Arsenii Dunaev, Le Li, Manuel Brucker |
| 2024 | NAACL | Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation. | Yao Lu, Jiayi Wang, Raphael Tang, Sebastian Riedel, Pontus Stenetorp |
| 2023 | ACL | Task-aware Retrieval with Instructions. | Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih |
| 2023 | ICLR | Can discrete information extraction prompts generalize across language models? | Nathanal Carraz Rakotonirina, Roberto Dess, Fabio Petroni, Sebastian Riedel, Marco Baroni |
| 2023 | ICLR | 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 |
| 2022 | ACL | Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. | Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel |
| 2022 | ACL | Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity. | Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp |
| 2022 | ACL | Open Vocabulary Extreme Classification Using Generative Models. | Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel, Majid Yazdani |
| 2022 | EMNLP | EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. | Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda |
| 2022 | EMNLP | A Few More Examples May Be Worth Billions of Parameters. | Yuval Kirstain, Patrick Lewis, Sebastian Riedel, Omer Levy |
| 2022 | EMNLP | An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. | Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2022 | NAACL | Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. | Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela |
| 2022 | NAACL | Boosted Dense Retriever. | Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel |
| 2022 | NAACL | Challenges in Generalization in Open Domain Question Answering. | Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp |
| 2022 | NAACL | Domain-matched Pre-training Tasks for Dense Retrieval. | Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad |
| 2022 | NAACL | Lifting the Curse of Multilinguality by Pre-training Modular Transformers. | Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe |
| 2021 | ACL | Joint Verification and Reranking for Open Fact Checking Over Tables. | Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel |
| 2021 | ACL | Database reasoning over text. | James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Halevy |
| 2021 | ACL | Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. | Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2021 | EACL | Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. | Patrick Lewis, Pontus Stenetorp, Sebastian Riedel |
| 2021 | EMNLP | Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. | Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela |
| 2021 | ICLR | Autoregressive Entity Retrieval. | Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni |
| 2021 | ICLR | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. | Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz |
| 2021 | IJCNN | Concept Matching for Low-Resource Classification. | Federico Errica, Fabrizio Silvestri, Bora Edizel, Ludovic Denoyer, Fabio Petroni, Vassilis Plachouras, Sebastian Riedel |
| 2021 | IROS | Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks. | Yunlei Shi, Zhaopeng Chen, Yansong Wu, Dimitri Henkel, Sebastian Riedel, Hongxu Liu, Qian Feng, Jianwei Zhang |
| 2021 | ICRA | Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot. | Yunlei Shi, Zhaopeng Chen, Hongxu Liu, Sebastian Riedel, Chunhui Gao, Qian Feng, Jun Deng, Jianwei Zhang |
| 2021 | NAACL | Dynabench: Rethinking Benchmarking in NLP. | 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 |
| 2021 | NAACL | KILT: a Benchmark for Knowledge Intensive Language Tasks. | Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktschel, Sebastian Riedel |
| 2020 | AAAI | Differentiable Reasoning on Large Knowledge Bases and Natural Language. | Pasquale Minervini, Matko Bosnjak, Tim Rocktschel, Sebastian Riedel, Edward Grefenstette |
| 2020 | ACL | MLQA: Evaluating Cross-lingual Extractive Question Answering. | Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk |
| 2020 | ACL | TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. | Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel |
| 2020 | EMNLP | Generating Fact Checking Briefs. | Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel |
| 2020 | EMNLP | AxCell: Automatic Extraction of Results from Machine Learning Papers. | Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic |
| 2020 | EMNLP | How Decoding Strategies Affect the Verifiability of Generated Text. | Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktschel, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel |
| 2020 | EMNLP | Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktschel |
| 2020 | EMNLP | Undersensitivity in Neural Reading Comprehension. | Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel |
| 2020 | EMNLP | Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. | Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2020 | EMNLP | Scalable Zero-shot Entity Linking with Dense Entity Retrieval. | Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer |
| 2020 | EMNLP | Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. | Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp |
| 2020 | ICML | Learning Reasoning Strategies in End-to-End Differentiable Proving. | Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktschel |
| 2019 | ACL | Unsupervised Question Answering by Cloze Translation. | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
| 2019 | EMNLP | Language Models as Knowledge Bases? | Fabio Petroni, Tim Rocktschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller |
| 2019 | NAACL | Evaluating Rewards for Question Generation Models. | Tom Hosking, Sebastian Riedel |
| 2019 | NeSy | Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. | Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktschel, Jun Wang, Matko Bosnjak |
| 2018 | AAAI | Convolutional 2D Knowledge Graph Embeddings. | Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2018 | ACL | Zero-Shot Transfer Learning for Event Extraction. | Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss |
| 2018 | ACL | Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers. | Georgios P. Spithourakis, Sebastian Riedel |
| 2018 | ACL | Jack the Reader - A Machine Reading Framework. | Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel |
| 2018 | CoNLL | Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. | Pasquale Minervini, Sebastian Riedel |
| 2018 | EMNLP | Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. | Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel |
| 2018 | EMNLP | Interpretation of Natural Language Rules in Conversational Machine Reading. | Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel |
| 2018 | EMNLP | UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF). | Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel |
| 2018 | NAACL | Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness. | Vicente Ivn Snchez Carmona, Jeff Mitchell, Sebastian Riedel |
| 2017 | CoNLL | A Supervised Approach to Extractive Summarisation of Scientific Papers. | Ed Collins, Isabelle Augenstein, Sebastian Riedel |
| 2017 | EACL | Neural Architectures for Fine-grained Entity Type Classification. | Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel |
| 2017 | EACL | The SUMMA Platform Prototype. | Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Herv Bourlard, Joo Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastio Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell |
| 2017 | EACL | How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis. | Vicente Ivn Snchez Carmona, Sebastian Riedel |
| 2017 | ICLR | Programming With a Differentiable Forth Interpreter. | Matko Bosnjak, Tim Rocktschel, Jason Naradowsky, Sebastian Riedel |
| 2017 | ICLR | Frustratingly Short Attention Spans in Neural Language Modeling. | Michal Daniluk, Tim Rocktschel, Johannes Welbl, Sebastian Riedel |
| 2017 | ICML | Programming with a Differentiable Forth Interpreter. | Matko Bosnjak, Tim Rocktschel, Jason Naradowsky, Sebastian Riedel |
| 2017 | UAI | Adversarial Sets for Regularising Neural Link Predictors. | Pasquale Minervini, Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2016 | AAAI | Creating Interactive and Visual Educational Resources for AI. | Sameer Singh, Sebastian Riedel |
| 2016 | COLING | SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods. | Marzieh Saeidi, Guillaume Bouchard, Maria Liakata, Sebastian Riedel |
| 2016 | EMNLP | Learning to Generate Textual Data. | Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel |
| 2016 | EMNLP | Lifted Rule Injection for Relation Embeddings. | Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2016 | EMNLP | Numerically Grounded Language Models for Semantic Error Correction. | Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel |
| 2016 | ICML | Complex Embeddings for Simple Link Prediction. | Tho Trouillon, Johannes Welbl, Sebastian Riedel, ric Gaussier, Guillaume Bouchard |
| 2015 | AAAI | Lower Dimensional Representations of City Neighbourhoods. | Marzieh Saeidi, Sebastian Riedel, Licia Capra |
| 2015 | ACL | Matrix and Tensor Factorization Methods for Natural Language Processing. | Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktschel, Andreas Vlachos |
| 2015 | EMNLP | Identification and Verification of Simple Claims about Statistical Properties. | Andreas Vlachos, Sebastian Riedel |
| 2015 | NAACL | Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. | Sameer Singh, Tim Rocktschel, Sebastian Riedel |
| 2015 | NAACL | Injecting Logical Background Knowledge into Embeddings for Relation Extraction. | Tim Rocktschel, Sameer Singh, Sebastian Riedel |
| 2015 | NAACL | WOLFE: An NLP-friendly Declarative Machine Learning Stack. | Sameer Singh, Tim Rocktschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel |
| 2014 | AAAI | WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. | Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktschel, Larysa Visengeriyeva, Jan Noessner |
| 2014 | ACL | Fact Checking: Task definition and dataset construction. | Andreas Vlachos, Sebastian Riedel |
| 2014 | UAI | Message Passing for Soft Constraint Dual Decomposition. | David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum |
| 2013 | CIKM | Joint inference of entities, relations, and coreference. | Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, Andrew McCallum |
| 2013 | CIKM | AKBC 2013: third workshop on automated knowledge base construction. | Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar |
| 2013 | CIKM | Universal schema for entity type prediction. | Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2013 | NAACL | Relation Extraction with Matrix Factorization and Universal Schemas. | Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin |
| 2013 | UAI | Automorphism Groups of Graphical Models and Lifted Variational Inference. | Hung Bui, Tuyen N. Huynh, Sebastian Riedel |
| 2012 | ACL | Unsupervised Relation Discovery with Sense Disambiguation. | Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2012 | EMNLP | Improving NLP through Marginalization of Hidden Syntactic Structure. | Jason Naradowsky, Sebastian Riedel, David A. Smith |
| 2012 | EMNLP | Parse, Price and Cut--Delayed Column and Row Generation for Graph Based Parsers. | Sebastian Riedel, David A. Smith, Andrew McCallum |
| 2012 | NAACL | Probabilistic Databases of Universal Schema. | Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2012 | RoboCup | TUMsBendingUnits from TU Munich: RoboCup 2012 Logistics League Champion. | Sren Jentzsch, Sebastian Riedel, Sebastian Denz, Sebastian G. Brunner |
| 2011 | EMNLP | Fast and Robust Joint Models for Biomedical Event Extraction. | Sebastian Riedel, Andrew McCallum |
| 2011 | EMNLP | Structured Relation Discovery using Generative Models. | Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew McCallum |
| 2010 | AAAI | Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up. | Sebastian Riedel |
| 2010 | EMNLP | Collective Cross-Document Relation Extraction Without Labelled Data. | Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2010 | NAACL | Relaxed Marginal Inference and its Application to Dependency Parsing. | Sebastian Riedel, David A. Smith |
| 2010 | NAACL | Constraint-Driven Rank-Based Learning for Information Extraction. | Sameer Singh, Limin Yao, Sebastian Riedel, Andrew McCallum |
| 2010 | UAI | Inference by Minimizing Size, Divergence, or their Sum. | Sebastian Riedel, David A. Smith, Andrew McCallum |
| 2009 | ACL | Jointly Identifying Temporal Relations with Markov Logic. | Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara, Yuji Matsumoto |
| 2009 | CoNLL | Multilingual Semantic Role Labelling with Markov Logic. | Ivn V. Meza-Ruz, Sebastian Riedel |
| 2009 | NAACL | Jointly Identifying Predicates, Arguments and Senses using Markov Logic. | Ivn V. Meza-Ruz, Sebastian Riedel |
| 2009 | NAACL | Revisiting Optimal Decoding for Machine Translation IBM Model 4. | Sebastian Riedel, James Clarke |
| 2008 | CoNLL | Collective Semantic Role Labelling with Markov Logic. | Sebastian Riedel, Ivn V. Meza-Ruz |
| 2008 | ICASSP | Accurate statistical spoken language understanding from limited development resources. | Ivn V. Meza-Ruz, Sebastian Riedel, Oliver Lemon |
| 2008 | UAI | Improving the Accuracy and Efficiency of MAP Inference for Markov Logic. | Sebastian Riedel |
| 2007 | EMNLP | The CoNLL 2007 Shared Task on Dependency Parsing. | Joakim Nivre, Johan Hall, Sandra Kbler, Ryan T. McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret |
| 2006 | CoNLL | Multi-lingual Dependency Parsing with Incremental Integer Linear Programming. | Sebastian Riedel, Ruket akici, Ivn V. Meza-Ruz |
| 2006 | EMNLP | Incremental Integer Linear Programming for Non-projective Dependency Parsing. | Sebastian Riedel, James Clarke |
| 2004 | GI | Linkage Flooding: Ein Algorithmus zur dateninhaltsorientierten Fusion in vernetzten Informationsbestnden. | Vanda Lehel, Florian Matthes, Sebastian Riedel |
| 2002 | ISMAR | Marker-less Tracking for AR: A Learning-Based Approach. | Yakup Genc, Sebastian Riedel, Fabrice Souvannavong, Cuneyt Akinlar, Nassir Navab |