← Authors

Phil Blunsom

96 papers · 2006–2025 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (19) 🐝 Cross-Pollinator (6) πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) 🏠 Conference Loyalist (26) πŸ† Keyword Champion 🀝 Dynamic Duo (21) πŸ† Grand Slam 🌱 Topic Pioneer 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (254) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (96) πŸ”₯ Unstoppable (18) ⚑ Prolific Year (6)

Conferences

ACL (26) EMNLP (19) NAACL (10) NIPS (9) EACL (5) ICLR (5) ICML (5) IJCNLP (4) CONLL (3) SEMEVAL (3) COLING (2) JMLR (2) AAAI (1) AISTATS (1) CVPR (1)

Top co-authors

Chris Dyer (21) Trevor Cohn (17) Karl Moritz Hermann (10) Edward Grefenstette (7) Tomas Kocisky (7) Yishu Miao (7) Jan Buys (6) Wang Ling (6) GΓ‘bor Melis (5) Adhiguna Kuncoro (5)

Keywords

language model (11) neural network (7) large language model (5) latent variable model (4) language modeling (4) unsupervised learning (4) machine translation (4) attention mechanism (4) variational inference (3) sequence-to-sequence model (3) question answering (3) reinforcement learning (3) latent variable (3) coreference resolution (3) knowledge distillation (3) generative model (3) semantic parsing (3) bayesian inference (2) multimodal learning (2) explanation generation (2)

Papers

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 β€œScientific 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