Sebastian Riedel

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? ACL 2025 LOFT: Scalable and More Realistic Long-Context Evaluation NAACL 2025 How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? EMNLP 2025 Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024 EditEval: An Instruction-Based Benchmark for Text Improvements CONLL 2024 EditEval: An Instruction-Based Benchmark for Text Improvements EMNLP 2024 Do Large Language Models Latently Perform Multi-Hop Reasoning? ACL 2024 Improving Language Plasticity via Pretraining with Active Forgetting NIPS 2023 Can discrete information extraction prompts generalize across language models? ICLR 2023 Task-aware Retrieval with Instructions ACL 2023 PEER: A Collaborative Language Model ICLR 2023 Atlas: Few-shot Learning with Retrieval Augmented Language Models JMLR 2023 Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models ACL 2022 An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks EMNLP 2022 Challenges in Generalization in Open Domain Question Answering NAACL 2022 Domain-matched Pre-training Tasks for Dense Retrieval NAACL 2022 Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants NAACL 2022 A Few More Examples May Be Worth Billions of Parameters EMNLP 2022 EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing EMNLP 2022 Lifting the Curse of Multilinguality by Pre-training Modular Transformers NAACL 2022 Boosted Dense Retriever NAACL 2022 ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective NIPS 2022 Autoregressive Search Engines: Generating Substrings as Document Identifiers NIPS 2022 Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity ACL 2022 Open Vocabulary Extreme Classification Using Generative Models ACL 2022 Joint Verification and Reranking for Open Fact Checking Over Tables IJCNLP 2021 Database reasoning over text IJCNLP 2021 Database reasoning over text ACL 2021 Joint Verification and Reranking for Open Fact Checking Over Tables ACL 2021 Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints ACL 2021 Dynabench: Rethinking Benchmarking in NLP NAACL 2021 Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets EACL 2021 KILT: a Benchmark for Knowledge Intensive Language Tasks NAACL 2021 Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints IJCNLP 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval ICLR 2021 Autoregressive Entity Retrieval ICLR 2021 AxCell: Automatic Extraction of Results from Machine Learning Papers EMNLP 2020 Undersensitivity in Neural Reading Comprehension EMNLP 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NIPS 2020 MLQA: Evaluating Cross-lingual Extractive Question Answering ACL 2020 TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020 Differentiable Reasoning on Large Knowledge Bases and Natural Language AAAI 2020 Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020 Scalable Zero-shot Entity Linking with Dense Entity Retrieval EMNLP 2020 Generating Fact Checking Briefs EMNLP 2020 Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020 How Decoding Strategies Affect the Verifiability of Generated Text EMNLP 2020 Unsupervised Question Answering by Cloze Translation ACL 2019 Language Models as Knowledge Bases? EMNLP 2019 Language Models as Knowledge Bases? IJCNLP 2019 Evaluating Rewards for Question Generation Models NAACL 2019 Jack the Reader – A Machine Reading Framework ACL 2018 Zero-Shot Transfer Learning for Event Extraction ACL 2018 Extrapolation in NLP NAACL 2018 Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness NAACL 2018 Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection EMNLP 2018 Interpretation of Natural Language Rules in Conversational Machine Reading EMNLP 2018 Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge CONLL 2018 UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF) EMNLP 2018 Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers ACL 2018 Neural Architectures for Fine-grained Entity Type Classification EACL 2017 The SUMMA Platform Prototype EACL 2017 Imitation learning for structured prediction in natural language processing EACL 2017 Knowledge Graph Completion via Complex Tensor Factorization JMLR 2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing EMNLP 2017 End-to-end Differentiable Proving NIPS 2017 SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SEMEVAL 2017 Programming with a Differentiable Forth Interpreter ICML 2017 A Supervised Approach to Extractive Summarisation of Scientific Papers CONLL 2017 How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis EACL 2017 Complex Embeddings for Simple Link Prediction ICML 2016 Lifted Rule Injection for Relation Embeddings EMNLP 2016 Numerically Grounded Language Models for Semantic Error Correction EMNLP 2016 SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods COLING 2016 Learning to Generate Textual Data EMNLP 2016 WOLFE: An NLP-friendly Declarative Machine Learning Stack NAACL 2015 Matrix and Tensor Factorization Methods for Natural Language Processing ACL 2015 Identification and Verification of Simple Claims about Statistical Properties EMNLP 2015 Matrix and Tensor Factorization Methods for Natural Language Processing IJCNLP 2015 Injecting Logical Background Knowledge into Embeddings for Relation Extraction NAACL 2015 Proceedings of the Seventeenth Conference on Computational Natural Language Learning CONLL 2013 Relation Extraction with Matrix Factorization and Universal Schemas NAACL 2013 Unsupervised Relation Discovery with Sense Disambiguation ACL 2012 Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers CONLL 2012 Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers EMNLP 2012 MAP Inference in Chains using Column Generation NIPS 2012 Improving NLP through Marginalization of Hidden Syntactic Structure EMNLP 2012 Improving NLP through Marginalization of Hidden Syntactic Structure CONLL 2012 Fast and Robust Joint Models for Biomedical Event Extraction EMNLP 2011 Structured Relation Discovery using Generative Models EMNLP 2011 Collective Cross-Document Relation Extraction Without Labelled Data EMNLP 2010 Constraint-Driven Rank-Based Learning for Information Extraction NAACL 2010 Relaxed Marginal Inference and its Application to Dependency Parsing NAACL 2010 Jointly Identifying Predicates, Arguments and Senses using Markov Logic NAACL 2009 Jointly Identifying Temporal Relations with Markov Logic IJCNLP 2009 Jointly Identifying Temporal Relations with Markov Logic ACL 2009 Revisiting Optimal Decoding for Machine Translation IBM Model 4 NAACL 2009 Multilingual Semantic Role Labelling with Markov Logic CONLL 2009 Collective Semantic Role Labelling with Markov Logic CONLL 2008 The CoNLL 2007 Shared Task on Dependency Parsing CONLL 2007 The CoNLL 2007 Shared Task on Dependency Parsing EMNLP 2007 Multi-lingual Dependency Parsing with Incremental Integer Linear Programming CONLL 2006 Incremental Integer Linear Programming for Non-projective Dependency Parsing EMNLP 2006