Phil Blunsom

Improving Reward Models with Synthetic Critiques NAACL 2025 Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering EMNLP 2025 Human Feedback is not Gold Standard ICLR 2024 Separations in the Representational Capabilities of Transformers and Recurrent Architectures NIPS 2024 BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts NIPS 2024 Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ICLR 2024 Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model ACL 2024 Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization EACL 2023 On “Scientific Debt” in NLP: A Case for More Rigour in Language Model Pre-Training Research ACL 2023 Intriguing Properties of Quantization at Scale NIPS 2023 Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions ACL 2023 Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022 A Systematic Investigation of Commonsense Knowledge in Large Language Models EMNLP 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022 Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play EMNLP 2022 StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models ICML 2022 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 Counterfactual Data Augmentation for Neural Machine Translation NAACL 2021 Mind the Gap: Assessing Temporal Generalization in Neural Language Models NIPS 2021 The DeepMind Chinese–English Document Translation System at WMT2020 EMNLP 2020 Mogrifier LSTM ICLR 2020 Learning Robust and Multilingual Speech Representations EMNLP 2020 Visual Grounding in Video for Unsupervised Word Translation CVPR 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 Learning to Segment Actions from Observation and Narration ACL 2020 WikiCREM: A Large Unsupervised Corpus for Coreference Resolution IJCNLP 2019 WikiCREM: A Large Unsupervised Corpus for Coreference Resolution EMNLP 2019 MotionTransformer: Transferring Neural Inertial Tracking between Domains AAAI 2019 Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL 2019 Learning to Discover, Ground and Use Words with Segmental Neural Language Models ACL 2019 LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better ACL 2018 Memory Architectures in Recurrent Neural Network Language Models ICLR 2018 On the State of the Art of Evaluation in Neural Language Models ICLR 2018 Neural Syntactic Generative Models with Exact Marginalization NAACL 2018 Neural Arithmetic Logic Units NIPS 2018 e-SNLI: Natural Language Inference with Natural Language Explanations NIPS 2018 Latent Intention Dialogue Models ICML 2017 Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention SEMEVAL 2017 Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017 Robust Incremental Neural Semantic Graph Parsing ACL 2017 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017 Discovering Discrete Latent Topics with Neural Variational Inference ICML 2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers EACL 2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers EACL 2017 Reference-Aware Language Models EMNLP 2017 Language as a Latent Variable: Discrete Generative Models for Sentence Compression EMNLP 2016 Semantic Parsing with Semi-Supervised Sequential Autoencoders EMNLP 2016 Online Segment to Segment Neural Transduction EMNLP 2016 Latent Predictor Networks for Code Generation ACL 2016 Neural Variational Inference for Text Processing ICML 2016 Generative Incremental Dependency Parsing with Neural Networks IJCNLP 2015 Generative Incremental Dependency Parsing with Neural Networks ACL 2015 Detection of Steganographic Techniques on Twitter EMNLP 2015 Teaching Machines to Read and Comprehend NIPS 2015 Pragmatic Neural Language Modelling in Machine Translation NAACL 2015 Learning to Transduce with Unbounded Memory NIPS 2015 Dynamic Topic Adaptation for Phrase-based MT EACL 2014 Compositional Morphology for Word Representations and Language Modelling ICML 2014 New Directions in Vector Space Models of Meaning ACL 2014 Learning Bilingual Word Representations by Marginalizing Alignments ACL 2014 A Convolutional Neural Network for Modelling Sentences ACL 2014 Modelling the Lexicon in Unsupervised Part of Speech Induction EACL 2014 Multilingual Models for Compositional Distributed Semantics ACL 2014 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 The Role of Syntax in Vector Space Models of Compositional Semantics ACL 2013 Collapsed Variational Bayesian Inference for PCFGs CONLL 2013 Adaptor Grammars for Learning Non-Concatenative Morphology EMNLP 2013 Recurrent Continuous Translation Models EMNLP 2013 A Systematic Bayesian Treatment of the IBM Alignment Models NAACL 2013 Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure NAACL 2012 A Bayesian Model for Learning SCFGs with Discontiguous Rules EMNLP 2012 An Unsupervised Ranking Model for Noun-Noun Compositionality SEMEVAL 2012 Learning Semantics and Selectional Preference of Adjective-Noun Pairs SEMEVAL 2012 A Bayesian Model for Learning SCFGs with Discontiguous Rules CONLL 2012 The PASCAL Challenge on Grammar Induction NAACL 2012 Bayesian Language Modelling of German Compounds COLING 2012 Unsupervised Part of Speech Inference with Particle Filters NAACL 2012 A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction ACL 2011 cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models ACL 2010 Inducing Tree-Substitution Grammars JMLR 2010 Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing EMNLP 2010 Inducing Synchronous Grammars with Slice Sampling NAACL 2010 Blocked Inference in Bayesian Tree Substitution Grammars ACL 2010 Inducing Compact but Accurate Tree-Substitution Grammars NAACL 2009 A Gibbs Sampler for Phrasal Synchronous Grammar Induction IJCNLP 2009 Monte Carlo inference and maximization for phrase-based translation CONLL 2009 A Bayesian Model of Syntax-Directed Tree to String Grammar Induction EMNLP 2009 A Note on the Implementation of Hierarchical Dirichlet Processes ACL 2009 A Gibbs Sampler for Phrasal Synchronous Grammar Induction ACL 2009 A Note on the Implementation of Hierarchical Dirichlet Processes IJCNLP 2009 Probabilistic Inference for Machine Translation EMNLP 2008 A Discriminative Latent Variable Model for Statistical Machine Translation ACL 2008 Bayesian Synchronous Grammar Induction NIPS 2008 Multilingual Deep Lexical Acquisition for HPSGs via Supertagging EMNLP 2006 Discriminative Word Alignment with Conditional Random Fields COLING 2006 Discriminative Word Alignment with Conditional Random Fields ACL 2006