Phil Blunsom - RankMe

209 papers A* 35A 3B 7C 1Misc 2Journal 102Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tiny Aya: Bridging Scale and Multilingual Depth. CoRR Alejandro Salamanca, Diana Abagyan, Daniel D'souza, Ammar Khairi, David Mora, Saurabh Dash, Viraat Aryabumi, Sara Rajaee, Mehrnaz Mofakhami, Ananya Sahu, Thomas Euyang, Brittawnya Prince, Madeline Smith, Hangyu Lin, Acyr Locatelli, Sara Hooker, Tom Kocmi, Aidan N. Gomez, Ivan Zhang, Phil Blunsom, Nick Frosst, Joelle Pineau, Beyza Ermis, Ahmet Üstün, Julia Kreutzer, Marzieh Fadaee
2025	J	`jnl`	Aya Vision: Advancing the Frontier of Multilingual Multimodality. CoRR Saurabh Dash, Yiyang Nan, John Dang, Arash Ahmadian, Shivalika Singh, Madeline Smith, Bharat Venkitesh, Vlad Shmyhlo, Viraat Aryabumi, Walter Beller-Morales, Jeremy Pekmez, Jason Ozuzu, Pierre Richemond, Acyr Locatelli, Nick Frosst, Phil Blunsom, Aidan N. Gomez, Ivan Zhang, Marzieh Fadaee, Manoj Govindassamy, Sudip Roy, Matthias Gallé, Beyza Ermis, Ahmet Üstün, Sara Hooker
2025	J	`jnl`	Hardness of Learning Regular Languages in the Next Symbol Prediction Setting. CoRR Satwik Bhattamishra, Phil Blunsom, Varun Kanade
2025	—	`conf`	Improving Reward Models with Synthetic Critiques. NAACL (Findings) Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé
2025	J	`jnl`	Rope to Nope and Back Again: A New Hybrid Attention Strategy. CoRR Bowen Yang, Bharat Venkitesh, Dwarak Talupuru, Hangyu Lin, David Cairuz, Phil Blunsom, Acyr Locatelli
2025	J	`jnl`	Uncertainty-Aware Step-wise Verification with Generative Reward Models. CoRR Zihuiwen Ye, Luckeciano Carvalho Melo, Younesse Kaddar, Phil Blunsom, Sam Staton, Yarin Gal
2024	J	`jnl`	Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker
2024	J	`jnl`	Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. CoRR John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker
2024	—	`conf`	Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. ACL (1) Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker
2024	J	`jnl`	Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker
2024	A*	`conf`	BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. NeurIPS Qizhen (Irene) Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli
2024	J	`jnl`	BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. CoRR Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli
2024	A*	`conf`	Human Feedback is not Gold Standard. ICLR Tom Hosking, Phil Blunsom, Max Bartolo
2024	J	`jnl`	Improving Reward Models with Synthetic Critiques. CoRR Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé
2024	A*	`conf`	Separations in the Representational Capabilities of Transformers and Recurrent Architectures. NeurIPS Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
2024	J	`jnl`	Separations in the Representational Capabilities of Transformers and Recurrent Architectures. CoRR Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
2024	A*	`conf`	Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. ICLR Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
2023	—	`conf`	Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
2023	J	`jnl`	Human Feedback is not Gold Standard. CoRR Tom Hosking, Phil Blunsom, Max Bartolo
2023	A*	`conf`	Intriguing Properties of Quantization at Scale. NeurIPS Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
2023	J	`jnl`	Intriguing Properties of Quantization at Scale. CoRR Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
2023	—	`conf`	On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research. ACL (1) Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro
2023	J	`jnl`	On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research. CoRR Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro
2023	—	`conf`	Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. EACL (Findings) Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
2023	—	`conf`	Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. ACL (1) Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
2023	J	`jnl`	Structural Transfer Learning in NL-to-Bash Semantic Parsers. CoRR Kyle Duffy, Satwik Bhattamishra, Phil Blunsom
2023	J	`jnl`	Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. CoRR Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
2022	A*	`conf`	A Systematic Investigation of Commonsense Knowledge in Large Language Models. EMNLP Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
2022	—	`conf`	Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. EMNLP (Findings) Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom
2022	J	`jnl`	Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. CoRR Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song
2022	C	`conf`	Learning Proof Path Selection Policies in Neural Theorem Proving. NeSy Matthew Morris, Pasquale Minervini, Phil Blunsom
2022	J	`jnl`	Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling. J. Mach. Learn. Res. Gábor Melis, András György, Phil Blunsom
2022	J	`jnl`	Relational Memory Augmented Language Models. CoRR Qi Liu, Dani Yogatama, Phil Blunsom
2022	J	`jnl`	Relational Memory-Augmented Language Models. Trans. Assoc. Comput. Linguistics Qi Liu, Dani Yogatama, Phil Blunsom
2022	J	`jnl`	Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. CoRR Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
2022	—	`conf`	Revisiting the Compositional Generalization Abilities of Neural Sequence Models. ACL (2) Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
2022	J	`jnl`	Revisiting the Compositional Generalization Abilities of Neural Sequence Models. CoRR Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
2022	J	`jnl`	Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. CoRR Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
2022	A*	`conf`	StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou
2022	J	`jnl`	StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou
2022	J	`jnl`	Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. CoRR Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
2022	J	`jnl`	Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. Trans. Assoc. Comput. Linguistics Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
2021	—	`conf`	A Generative Framework for Simultaneous Machine Translation. EMNLP (1) Yishu Miao, Phil Blunsom, Lucia Specia
2021	J	`jnl`	A Systematic Investigation of Commonsense Understanding in Large Language Models. CoRR Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
2021	—	`conf`	Counterfactual Data Augmentation for Neural Machine Translation. NAACL-HLT Qi Liu, Matt J. Kusner, Phil Blunsom
2021	J	`jnl`	Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni
2021	A*	`conf`	Mind the Gap: Assessing Temporal Generalization in Neural Language Models. NeurIPS Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom
2021	J	`jnl`	Pitfalls of Static Language Modelling. CoRR Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom
2021	J	`jnl`	Pretraining the Noisy Channel Model for Task-Oriented Dialogue. CoRR Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
2021	J	`jnl`	Pretraining the Noisy Channel Model for Task-Oriented Dialogue. Trans. Assoc. Comput. Linguistics Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
2020	J	`jnl`	A Survey on Contextual Embeddings. CoRR Qi Liu, Matt J. Kusner, Phil Blunsom
2020	J	`jnl`	Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
2020	—	`conf`	Learning Robust and Multilingual Speech Representations. EMNLP (Findings) Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
2020	J	`jnl`	Learning Robust and Multilingual Speech Representations. CoRR Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
2020	A*	`conf`	Learning to Segment Actions from Observation and Narration. ACL Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
2020	J	`jnl`	Learning to Segment Actions from Observation and Narration. CoRR Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
2020	A*	`conf`	Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2020	A*	`conf`	Mogrifier LSTM. ICLR Gábor Melis, Tomás Kociský, Phil Blunsom
2020	J	`jnl`	Mutual Information Constraints for Monte-Carlo Objectives. CoRR Gábor Melis, András György, Phil Blunsom
2020	B	`conf`	Simulating Early Word Learning in Situated Connectionist Agents. CogSci Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann
2020	J	`jnl`	Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
2020	J	`jnl`	Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
2020	—	`conf`	The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer
2020	J	`jnl`	The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2020	A*	`conf`	Visual Grounding in Video for Unsupervised Word Translation. CVPR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2020	J	`jnl`	Visual Grounding in Video for Unsupervised Word Translation. CoRR Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
2019	J	`jnl`	A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR Chris Dyer, Gábor Melis, Phil Blunsom
2019	J	`jnl`	Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2019	J	`jnl`	Learning and Evaluating General Linguistic Intelligence. CoRR Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom
2019	—	`conf`	Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) Kazuya Kawakami, Chris Dyer, Phil Blunsom
2019	J	`jnl`	Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2019	J	`jnl`	Mogrifier LSTM. CoRR Gábor Melis, Tomás Kociský, Phil Blunsom
2019	A*	`conf`	MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni
2019	J	`jnl`	Putting Machine Translation in Context with the Noisy Channel Model. CoRR Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
2019	—	`conf`	Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
2019	J	`jnl`	Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
2019	—	`conf`	WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2019	J	`jnl`	WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2018	J	`jnl`	Encoding Spatial Relations from Natural Language. CoRR Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
2018	—	`conf`	LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom
2018	J	`jnl`	Learning with Stochastic Guidance for Navigation. CoRR Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni
2018	—	`conf`	Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
2018	A*	`conf`	Neural Arithmetic Logic Units. NeurIPS Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
2018	J	`jnl`	Neural Arithmetic Logic Units. CoRR Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
2018	—	`conf`	Neural Syntactic Generative Models with Exact Marginalization. NAACL-HLT Jan Buys, Phil Blunsom
2018	—	`conf`	On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) Gábor Melis, Chris Dyer, Phil Blunsom
2018	J	`jnl`	Pushing the bounds of dropout. CoRR Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
2018	J	`jnl`	Sentence Encoding with Tree-constrained Relation Networks. CoRR Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling
2018	J	`jnl`	The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
2018	J	`jnl`	Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni
2018	J	`jnl`	Unsupervised Word Discovery with Segmental Neural Language Models. CoRR Kazuya Kawakami, Chris Dyer, Phil Blunsom
2018	A*	`conf`	e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2018	J	`jnl`	e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2017	A*	`conf`	Discovering Discrete Latent Topics with Neural Variational Inference. ICML Yishu Miao, Edward Grefenstette, Phil Blunsom
2017	J	`jnl`	Discovering Discrete Latent Topics with Neural Variational Inference. CoRR Yishu Miao, Edward Grefenstette, Phil Blunsom
2017	J	`jnl`	From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). Dagstuhl Reports Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze
2017	J	`jnl`	Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom
2017	J	`jnl`	Grounded Language Learning in a Simulated 3D World. CoRR Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom
2017	A*	`conf`	Latent Intention Dialogue Models. ICML Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
2017	J	`jnl`	Latent Intention Dialogue Models. CoRR Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
2017	—	`conf`	Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
2017	—	`conf`	Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. ACL (1) Kazuya Kawakami, Chris Dyer, Phil Blunsom
2017	J	`jnl`	Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. CoRR Kazuya Kawakami, Chris Dyer, Phil Blunsom
2017	J	`jnl`	On the State of the Art of Evaluation in Neural Language Models. CoRR Gábor Melis, Chris Dyer, Phil Blunsom
2017	—	`conf`	Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention. SemEval@ACL Jan Buys, Phil Blunsom
2017	—	`ed.`	Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers EACL (1) Mirella Lapata, Phil Blunsom, Alexander Koller
2017	—	`ed.`	Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers EACL (2) Mirella Lapata, Phil Blunsom, Alexander Koller
2017	—	`ed.`	Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017 Rep4NLP@ACL Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih
2017	—	`conf`	Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
2017	J	`jnl`	Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
2017	A*	`conf`	Reference-Aware Language Models. EMNLP Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling
2017	—	`conf`	Robust Incremental Neural Semantic Graph Parsing. ACL (1) Jan Buys, Phil Blunsom
2017	J	`jnl`	Robust Incremental Neural Semantic Graph Parsing. CoRR Jan Buys, Phil Blunsom
2017	J	`jnl`	The NarrativeQA Reading Comprehension Challenge. CoRR Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
2017	—	`conf`	The Neural Noisy Channel. ICLR (Poster) Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
2017	J	`jnl`	Understanding Grounded Language Learning Agents. CoRR Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark
2016	J	`jnl`	Hybrid computing using a neural network with dynamic external memory. Nat. Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John P. Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis
2016	A*	`conf`	Language as a Latent Variable: Discrete Generative Models for Sentence Compression. EMNLP Yishu Miao, Phil Blunsom
2016	J	`jnl`	Language as a Latent Variable: Discrete Generative Models for Sentence Compression. CoRR Yishu Miao, Phil Blunsom
2016	—	`conf`	Latent Predictor Networks for Code Generation. ACL (1) Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Fumin Wang, Andrew W. Senior
2016	J	`jnl`	Latent Predictor Networks for Code Generation. CoRR Wang Ling, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Andrew W. Senior, Fumin Wang, Phil Blunsom
2016	J	`jnl`	Learning to Compose Words into Sentences with Reinforcement Learning. CoRR Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
2016	A*	`conf`	Neural Variational Inference for Text Processing. ICML Yishu Miao, Lei Yu, Phil Blunsom
2016	A*	`conf`	Online Segment to Segment Neural Transduction. EMNLP Lei Yu, Jan Buys, Phil Blunsom
2016	J	`jnl`	Online Segment to Segment Neural Transduction. CoRR Lei Yu, Jan Buys, Phil Blunsom
2016	J	`jnl`	Optimizing Performance of Recurrent Neural Networks on GPUs. CoRR Jeremy Appleyard, Tomás Kociský, Phil Blunsom
2016	—	`ed.`	Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016 Rep4NLP@ACL Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih
2016	A*	`conf`	Reasoning about Entailment with Neural Attention. ICLR (Poster) Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom
2016	J	`jnl`	Reference-Aware Language Models. CoRR Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling
2016	A*	`conf`	Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
2016	J	`jnl`	Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
2016	J	`jnl`	The Neural Noisy Channel. CoRR Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
2015	—	`conf`	A Bayesian Model for Generative Transition-based Dependency Parsing. DepLing Jan Buys, Phil Blunsom
2015	J	`jnl`	A Bayesian Model for Generative Transition-based Dependency Parsing. CoRR Jan Buys, Phil Blunsom
2015	A*	`conf`	Detection of Steganographic Techniques on Twitter. EMNLP Alex Wilson, Phil Blunsom, Andrew D. Ker
2015	—	`conf`	Generative Incremental Dependency Parsing with Neural Networks. ACL (2) Jan Buys, Phil Blunsom
2015	—	`conf`	Learning to Transduce with Unbounded Memory. NIPS Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom
2015	J	`jnl`	Learning to Transduce with Unbounded Memory. CoRR Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom
2015	J	`jnl`	Neural Variational Inference for Text Processing. CoRR Yishu Miao, Lei Yu, Phil Blunsom
2015	J	`jnl`	Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength. IEEE Trans. Wirel. Commun. Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik
2015	—	`conf`	Pragmatic Neural Language Modelling in Machine Translation. HLT-NAACL Paul Baltescu, Phil Blunsom
2015	—	`ed.`	Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA VS@NAACL-HLT Phil Blunsom, Shay B. Cohen, Paramveer S. Dhillon, Percy Liang
2015	—	`conf`	Teaching Machines to Read and Comprehend. NIPS Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom
2015	J	`jnl`	Teaching Machines to Read and Comprehend. CoRR Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom
2014	—	`conf`	A Convolutional Neural Network for Modelling Sentences. ACL (1) Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
2014	J	`jnl`	A Convolutional Neural Network for Modelling Sentences. CoRR Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
2014	J	`jnl`	A Deep Architecture for Semantic Parsing. CoRR Edward Grefenstette, Phil Blunsom, Nando de Freitas, Karl Moritz Hermann
2014	J	`jnl`	A Fast and Simple Online Synchronous Context Free Grammar Extractor. Prague Bull. Math. Linguistics Paul Baltescu, Phil Blunsom
2014	—	`conf`	A Simple Model for Learning Multilingual Compositional Semantics. ICLR Karl Moritz Hermann, Phil Blunsom
2014	J	`jnl`	Bayesian Optimisation for Machine Translation. CoRR Yishu Miao, Ziyu Wang, Phil Blunsom
2014	A*	`conf`	Compositional Morphology for Word Representations and Language Modelling. ICML Jan A. Botha, Phil Blunsom
2014	J	`jnl`	Compositional Morphology for Word Representations and Language Modelling. CoRR Jan A. Botha, Phil Blunsom
2014	J	`jnl`	Deep Learning for Answer Sentence Selection. CoRR Lei Yu, Karl Moritz Hermann, Phil Blunsom, Stephen Pulman
2014	J	`jnl`	Deep Multi-Instance Transfer Learning. CoRR Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas
2014	A	`conf`	Dynamic Topic Adaptation for Phrase-based MT. EACL Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow
2014	—	`conf`	Learning Bilingual Word Representations by Marginalizing Alignments. ACL (2) Tomás Kociský, Karl Moritz Hermann, Phil Blunsom
2014	J	`jnl`	Learning Bilingual Word Representations by Marginalizing Alignments. CoRR Tomás Kociský, Karl Moritz Hermann, Phil Blunsom
2014	—	`conf`	Linguistic steganography on Twitter: hierarchical language modeling with manual interaction. Media Watermarking, Security, and Forensics Alex Wilson, Phil Blunsom, Andrew D. Ker
2014	A	`conf`	Modelling the Lexicon in Unsupervised Part of Speech Induction. EACL Gregory Dubbin, Phil Blunsom
2014	J	`jnl`	Modelling the Lexicon in Unsupervised Part of Speech Induction. CoRR Gregory Dubbin, Phil Blunsom
2014	J	`jnl`	Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network. CoRR Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas
2014	—	`conf`	Multilingual Models for Compositional Distributed Semantics. ACL (1) Karl Moritz Hermann, Phil Blunsom
2014	J	`jnl`	Multilingual Models for Compositional Distributed Semantics. CoRR Karl Moritz Hermann, Phil Blunsom
2014	—	`conf`	New Directions in Vector Space Models of Meaning. ACL (Tutorial Abstracts) Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom
2014	J	`jnl`	OxLM: A Neural Language Modelling Framework for Machine Translation. Prague Bull. Math. Linguistics Paul Baltescu, Phil Blunsom, Hieu Hoang
2014	J	`jnl`	Pragmatic Neural Language Modelling in Machine Translation. CoRR Paul Baltescu, Phil Blunsom
2014	J	`jnl`	Tree Transduction Tools for cdec. Prague Bull. Math. Linguistics Austin Matthews, Paul Baltescu, Phil Blunsom, Alon Lavie, Chris Dyer
2013	—	`conf`	"Not not bad" is not "bad": A distributional account of negation. CVSM@ACL Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom
2013	J	`jnl`	"Not not bad" is not "bad": A distributional account of negation. CoRR Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom
2013	—	`conf`	A Systematic Bayesian Treatment of the IBM Alignment Models. HLT-NAACL Yarin Gal, Phil Blunsom
2013	A*	`conf`	Adaptor Grammars for Learning Non-Concatenative Morphology. EMNLP Jan A. Botha, Phil Blunsom
2013	A	`conf`	Collapsed Variational Bayesian Inference for Hidden Markov Models. AISTATS Pengyu Wang, Phil Blunsom
2013	B	`conf`	Collapsed Variational Bayesian Inference for PCFGs. CoNLL Pengyu Wang, Phil Blunsom
2013	B	`conf`	Identification and mitigation of non-line-of-sight conditions using received signal strength. WiMob Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik
2013	B	`conf`	On Assessing the Accuracy of Positioning Systems in Indoor Environments. EWSN Hongkai Wen, Zhuoling Xiao, Niki Trigoni, Phil Blunsom
2013	A*	`conf`	Recurrent Continuous Translation Models. EMNLP Nal Kalchbrenner, Phil Blunsom
2013	—	`conf`	Recurrent Convolutional Neural Networks for Discourse Compositionality. CVSM@ACL Nal Kalchbrenner, Phil Blunsom
2013	J	`jnl`	Recurrent Convolutional Neural Networks for Discourse Compositionality. CoRR Nal Kalchbrenner, Phil Blunsom
2013	—	`conf`	The Role of Syntax in Vector Space Models of Compositional Semantics. ACL (1) Karl Moritz Hermann, Phil Blunsom
2012	—	`conf`	A Bayesian Model for Learning SCFGs with Discontiguous Rules. EMNLP-CoNLL Abby D. Levenberg, Chris Dyer, Phil Blunsom
2012	—	`conf`	An Unsupervised Ranking Model for Noun-Noun Compositionality. *SEM@NAACL-HLT Karl Moritz Hermann, Phil Blunsom, Stephen Pulman
2012	B	`conf`	Bayesian Language Modelling of German Compounds. COLING Jan A. Botha, Chris Dyer, Phil Blunsom
2012	—	`conf`	Learning Semantics and Selectional Preference of Adjective-Noun Pairs. *SEM@NAACL-HLT Karl Moritz Hermann, Chris Dyer, Phil Blunsom, Stephen Pulman
2012	—	`conf`	Unsupervised Bayesian Part of Speech Inference with Particle Gibbs. ECML/PKDD (1) Gregory Dubbin, Phil Blunsom
2011	A*	`conf`	A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction. ACL Phil Blunsom, Trevor Cohn
2010	—	`conf`	Blocked Inference in Bayesian Tree Substitution Grammars. ACL (2) Trevor Cohn, Phil Blunsom
2010	—	`conf`	Inducing Synchronous Grammars with Slice Sampling. HLT-NAACL Phil Blunsom, Trevor Cohn
2010	J	`jnl`	Inducing Tree-Substitution Grammars. J. Mach. Learn. Res. Trevor Cohn, Phil Blunsom, Sharon Goldwater
2010	J	`jnl`	Metrics for MT evaluation: evaluating reordering. Mach. Transl. Alexandra Birch, Miles Osborne, Phil Blunsom
2010	J	`jnl`	Monte Carlo techniques for phrase-based translation. Mach. Transl. Abhishek Arun, Barry Haddow, Philipp Koehn, Adam Lopez, Chris Dyer, Phil Blunsom
2010	A*	`conf`	Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing. EMNLP Phil Blunsom, Trevor Cohn
2010	—	`conf`	cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models. ACL (System Demonstrations) Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonathan Weese, Ferhan Türe, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman, Philip Resnik
2009	A*	`conf`	A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. EMNLP Trevor Cohn, Phil Blunsom
2009	—	`conf`	A Gibbs Sampler for Phrasal Synchronous Grammar Induction. ACL/IJCNLP Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osborne
2009	—	`conf`	A Note on the Implementation of Hierarchical Dirichlet Processes. ACL/IJCNLP (2) Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark Johnson
2009	—	`conf`	A Quantitative Analysis of Reordering Phenomena. WMT@EACL Alexandra Birch, Phil Blunsom, Miles Osborne
2009	—	`conf`	Inducing Compact but Accurate Tree-Substitution Grammars. HLT-NAACL Trevor Cohn, Sharon Goldwater, Phil Blunsom
2009	J	`jnl`	Learning Machine Translation - Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (editors) The MIT Press, 2009, xii+316 pp; ISBN 978-0-262-07297-7 Comput. Linguistics Phil Blunsom
2009	B	`conf`	Monte Carlo inference and maximization for phrase-based translation. CoNLL Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez, Philipp Koehn
2008	A*	`conf`	A Discriminative Latent Variable Model for Statistical Machine Translation. ACL Phil Blunsom, Trevor Cohn, Miles Osborne
2008	—	`conf`	Bayesian Synchronous Grammar Induction. NIPS Phil Blunsom, Trevor Cohn, Miles Osborne
2008	A*	`conf`	Probabilistic Inference for Machine Translation. EMNLP Phil Blunsom, Miles Osborne
2007	—	`—`	Structured classification for multilingual natural language processing. Phil Blunsom
2006	Misc	`conf`	Die Morphologie (f): Targeted Lexical Acquisition for Languages other than English. ALTA Jeremy Nicholson, Timothy Baldwin, Phil Blunsom
2006	A*	`conf`	Discriminative Word Alignment with Conditional Random Fields. ACL Phil Blunsom, Trevor Cohn
2006	A*	`conf`	Multilingual Deep Lexical Acquisition for HPSGs via Supertagging. EMNLP Phil Blunsom, Timothy Baldwin
2006	A*	`conf`	Question classification with log-linear models. SIGIR Phil Blunsom, Krystle Kocik, James R. Curran
2005	B	`conf`	Semantic Role Labelling with Tree Conditional Random Fields. CoNLL Trevor Cohn, Phil Blunsom
2004	Misc	`conf`	Maximum Entropy Markov Models for Semantic Role Labelling. ALTA Phil Blunsom