Phil Blunsom

Phil Blunsom

University of Oxford

H-index: 57

Europe-United Kingdom

About Phil Blunsom

Phil Blunsom, With an exceptional h-index of 57 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Artificial Intelligence, Machine Learning, Computational Linguistics, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Aya model: An instruction finetuned open-access multilingual language model

The Next Symbol Prediction Problem: PAC-learning and its relation to Language Models

On" Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research

Understanding in-context learning in transformers and llms by learning to learn discrete functions

Can Text Encoders be Deceived by Length Attack?

Human Feedback is not Gold Standard

Augmented recurrent neural network with external memory

Intriguing properties of quantization at scale

Phil Blunsom Information

University

Position

DeepMind and

Citations(all)

26033

Citations(since 2020)

16833

Cited By

16214

hIndex(all)

57

hIndex(since 2020)

47

i10Index(all)

118

i10Index(since 2020)

92

Email

University Profile Page

Google Scholar

Phil Blunsom Skills & Research Interests

Artificial Intelligence

Machine Learning

Computational Linguistics

Natural Language Processing

Top articles of Phil Blunsom

Title

Journal

Author(s)

Publication Date

Aya model: An instruction finetuned open-access multilingual language model

arXiv preprint arXiv:2402.07827

Ahmet Üstün

Viraat Aryabumi

Zheng-Xin Yong

Wei-Yin Ko

Daniel D'souza

...

2024/2/12

The Next Symbol Prediction Problem: PAC-learning and its relation to Language Models

Satwik Bhattamishra

Phil Blunsom

Varun Kanade

2023/11/7

On" Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research

arXiv preprint arXiv:2306.02870

Made Nindyatama Nityasya

Haryo Akbarianto Wibowo

Alham Fikri Aji

Genta Indra Winata

Radityo Eko Prasojo

...

2023/6/5

Understanding in-context learning in transformers and llms by learning to learn discrete functions

arXiv preprint arXiv:2310.03016

Satwik Bhattamishra

Arkil Patel

Phil Blunsom

Varun Kanade

2023/10/4

Can Text Encoders be Deceived by Length Attack?

Chenghao Xiao

Zihuiwen Ye

G Thomas Hudson

Zhongtian Sun

Phil Blunsom

...

2023/3/1

Human Feedback is not Gold Standard

arXiv preprint arXiv:2309.16349

Tom Hosking

Phil Blunsom

Max Bartolo

2023/9/28

Augmented recurrent neural network with external memory

2023/9/14

Intriguing properties of quantization at scale

Advances in Neural Information Processing Systems

Arash Ahmadian

Saurabh Dash

Hongyu Chen

Bharat Venkitesh

Zhen Stephen Gou

...

2023/12/15

Structural Transfer Learning in NL-to-Bash Semantic Parsers

arXiv preprint arXiv:2307.16795

Kyle Duffy

Satwik Bhattamishra

Phil Blunsom

2023/7/31

Revisiting the Compositional Generalization Abilities of Neural Sequence Models

Arkil Patel

Satwik Bhattamishra

Phil Blunsom

Navin Goyal

2022/3/14

Action selection based on environment observations and textual instructions

2022/10/6

Learning Proof Path Selection Policies in Neural Theorem Proving.

NeSy @ IJCLR 2022, AKBC 2022

Matthew Morris

Pasquale Minervini

Phil Blunsom

2022

Sequence transduction neural networks

2022/8/23

Mutual information constraints for Monte-Carlo objectives to prevent posterior collapse especially in language modelling

Journal of Machine Learning Research

Gábor Melis

András György

Phil Blunsom

2022

Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models

Adam Liska

Tomas Kocisky

Elena Gribovskaya

Tayfun Terzi

Eren Sezener

...

2022/6/28

Transformer grammars: Augmenting transformer language models with syntactic inductive biases at scale

Transactions of the Association for Computational Linguistics

Laurent Sartran

Samuel Barrett

Adhiguna Kuncoro

Miloš Stanojević

Phil Blunsom

...

2022/12/22

Reassessing evaluation practices in visual question answering: A case study on out-of-distribution generalization

arXiv preprint arXiv:2205.12191

Aishwarya Agrawal

Ivana Kajić

Emanuele Bugliarello

Elnaz Davoodi

Anita Gergely

...

2022/5/24

Simplicity bias in transformers and their ability to learn sparse boolean functions

arXiv preprint arXiv:2211.12316

Satwik Bhattamishra

Arkil Patel

Varun Kanade

Phil Blunsom

2022/11/22

Relational memory-augmented language models

Transactions of the Association for Computational Linguistics

Qi Liu

Dani Yogatama

Phil Blunsom

2022/5/4

Augmenting multi-turn text-to-SQL datasets with self-play

arXiv preprint arXiv:2210.12096

Qi Liu

Zihuiwen Ye

Tao Yu

Phil Blunsom

Linfeng Song

2022/10/21

See List of Professors in Phil Blunsom University(University of Oxford)

Co-Authors

academic-engine