← Authors

Sebastian Riedel

105 papers · 2006–2025 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (124) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10) πŸƒ Academic Marathon (19) 🌟 Keyword Trendsetter Combo (8) 🏠 Conference Loyalist (29) 🀝 Dynamic Duo (20) πŸ† Grand Slam πŸ‘₯ Mega-Team (46) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ† Keyword Champion ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) ❓ The Questioner (7) πŸ’Ž Century Club (105) πŸ—ƒοΈ Keyword Collector (294)

Conferences

EMNLP (29) NAACL (19) ACL (18) CONLL (10) IJCNLP (6) NIPS (6) EACL (5) ICLR (4) ICML (3) JMLR (2) AAAI (1) COLING (1) SEMEVAL (1)

Top co-authors

Pontus Stenetorp (20) Patrick Lewis (19) Fabio Petroni (18) Tim RocktΓ€schel (17) Pasquale Minervini (12) Andrew McCallum (10) Guillaume Bouchard (7) Max Bartolo (6) Yuxiang Wu (6) Barlas Oguz (6)

Keywords

question answering (13) language model (6) large language model (5) adversarial training (5) few-shot learning (5) natural language inference (5) open-domain question answering (5) information retrieval (5) knowledge base (5) link prediction (4) neural network (4) model robustness (4) fact checking (4) transfer learning (4) dense retrieval (4) semantic parsing (4) entity linking (3) retrieval-augmented generation (3) adaptive computation (3) knowledge-intensive task (3)

Papers

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 Cutβ€”Delayed Column and Row Generation for Graph Based Parsers CONLL 2012
Parse, Price and Cutβ€”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