Phil Blunsom

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 117

Top Venues

CoRR

ACL (1)

EMNLP

Trans. Assoc. Comput. Linguistics

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

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
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. CoRR (2024)
Tom Hosking, Phil Blunsom, Max Bartolo
Human Feedback is not Gold Standard. ICLR (2024)
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. ICLR (2024)
Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
Separations in the Representational Capabilities of Transformers and Recurrent Architectures. CoRR (2024)
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
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR (2024)
Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé
Improving Reward Models with Synthetic Critiques. CoRR (2024)
Kyle Duffy, Satwik Bhattamishra, Phil Blunsom
Structural Transfer Learning in NL-to-Bash Semantic Parsers. CoRR (2023)
Tom Hosking, Phil Blunsom, Max Bartolo
Human Feedback is not Gold Standard. CoRR (2023)
Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
Intriguing Properties of Quantization at Scale. CoRR (2023)
Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR (2023)
Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro
On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research. CoRR (2023)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. EACL (Findings) (2023)
Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro
On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research. ACL (1) (2023)
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. ACL (1) (2023)
Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
Intriguing Properties of Quantization at Scale. NeurIPS (2023)
Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions. CoRR (2023)
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. ACL (2) (2022)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. CoRR (2022)
Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. EMNLP (Findings) (2022)
Qi Liu, Dani Yogatama, Phil Blunsom
Relational Memory-Augmented Language Models. Trans. Assoc. Comput. Linguistics 10 (2022)
Matthew Morris, Pasquale Minervini, Phil Blunsom
Learning Proof Path Selection Policies in Neural Theorem Proving. NeSy (2022)
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
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. CoRR (2022)
Qi Liu, Dani Yogatama, Phil Blunsom
Relational Memory Augmented Language Models. CoRR (2022)
Gábor Melis, András György, Phil Blunsom
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling. J. Mach. Learn. Res. 23 (2022)
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
A Systematic Investigation of Commonsense Knowledge in Large Language Models. EMNLP (2022)
Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions. CoRR (2022)
Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal
Revisiting the Compositional Generalization Abilities of Neural Sequence Models. CoRR (2022)
Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. Trans. Assoc. Comput. Linguistics 10 (2022)
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
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. ICML (2022)
Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. CoRR (2022)
Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. CoRR (2022)
Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
Pretraining the Noisy Channel Model for Task-Oriented Dialogue. Trans. Assoc. Comput. Linguistics 9 (2021)
Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
Pretraining the Noisy Channel Model for Task-Oriented Dialogue. CoRR (2021)
Yishu Miao, Phil Blunsom, Lucia Specia
A Generative Framework for Simultaneous Machine Translation. EMNLP (1) (2021)
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
Pitfalls of Static Language Modelling. CoRR (2021)
Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
A Systematic Investigation of Commonsense Understanding in Large Language Models. CoRR (2021)
Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni
Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Qi Liu, Matt J. Kusner, Phil Blunsom
Counterfactual Data Augmentation for Neural Machine Translation. NAACL-HLT (2021)
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
Mind the Gap: Assessing Temporal Generalization in Neural Language Models. NeurIPS (2021)
Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CoRR (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CVPR (2020)
Gábor Melis, András György, Phil Blunsom
Mutual Information Constraints for Monte-Carlo Objectives. CoRR (2020)
Qi Liu, Matt J. Kusner, Phil Blunsom
A Survey on Contextual Embeddings. CoRR (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. CoRR (2020)
Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann
Simulating Early Word Learning in Situated Connectionist Agents. CogSci (2020)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR (2020)
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8 (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) (2020)
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics 8 (2020)
Gábor Melis, Tomás Kociský, Phil Blunsom
Mogrifier LSTM. ICLR (2020)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. CoRR (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. ACL (2020)
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR (2020)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR (2019)
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR (2019)
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) (2019)
Chris Dyer, Gábor Melis, Phil Blunsom
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR (2019)
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR (2019)
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI (2019)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR (2019)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) (2019)
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
Learning and Evaluating General Linguistic Intelligence. CoRR (2019)
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) (2019)
Gábor Melis, Tomás Kociský, Phil Blunsom
Mogrifier LSTM. CoRR (2019)
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
Putting Machine Translation in Context with the Noisy Channel Model. CoRR (2019)
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS (2018)
Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni
Learning with Stochastic Guidance for Navigation. CoRR (2018)
Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) (2018)
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni
Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR (2018)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) (2018)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Unsupervised Word Discovery with Segmental Neural Language Models. CoRR (2018)
Jan Buys, Phil Blunsom
Neural Syntactic Generative Models with Exact Marginalization. NAACL-HLT (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. NeurIPS (2018)
Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling
Sentence Encoding with Tree-constrained Relation Networks. CoRR (2018)
Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) (2018)
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR (2018)
Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann
Encoding Spatial Relations from Natural Language. CoRR (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. CoRR (2018)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6 (2018)
Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
Pushing the bounds of dropout. CoRR (2018)
Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
The Neural Noisy Channel. ICLR (Poster) (2017)
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) (2017)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. CoRR (2017)
Yishu Miao, Edward Grefenstette, Phil Blunsom
Discovering Discrete Latent Topics with Neural Variational Inference. CoRR (2017)
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR (2017)
Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling
Reference-Aware Language Models. EMNLP (2017)
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) (2017)
Yishu Miao, Edward Grefenstette, Phil Blunsom
Discovering Discrete Latent Topics with Neural Variational Inference. ICML (2017)
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
Grounded Language Learning in a Simulated 3D World. CoRR (2017)
Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). Dagstuhl Reports 7 (1) (2017)
Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom
Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR (2017)
Jan Buys, Phil Blunsom
Robust Incremental Neural Semantic Graph Parsing. ACL (1) (2017)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. CoRR (2017)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. CoRR (2017)
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
Latent Intention Dialogue Models. ICML (2017)
Jan Buys, Phil Blunsom
Robust Incremental Neural Semantic Graph Parsing. CoRR (2017)
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young
Latent Intention Dialogue Models. CoRR (2017)
Jan Buys, Phil Blunsom
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention. SemEval@ACL (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Phil Blunsom