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Sebastian Riedel

Sebastian Riedel

Professor

Sebastian Riedel

Sebastian works in NLP and Machine Learning. He is particularly interested in helping machines to read more accurately by leveraging...

Pontus Stenetorp

Pontus Stenetorp

Associate Professor

Pontus Stenetorp

Pontus works somewhere in the intersection between Natural Language Processing and Machine Learning. He is particularly interested in...

Tim Rocktäschel

Tim Rocktäschel

Affiliated Faculty (Associate Professor)

Tim Rocktäschel

Reinforcement Learning – Deep Learning – Natural Language Processing

Tim’s work focuses on developing agents that are...

Ed Grefenstette

Ed Grefenstette

Honorary Professor

Ed Grefenstette

Ed is interesting in teaching machines to understand and communicate using language (formal and natural), and in both neural and symbolic...

Pasquale Minervini

Pasquale Minervini

Senior Research Fellow, Principal Investigator for H2020 CLARIFY

Pasquale Minervini

Pasquale is interested in ML from graph-structured data and language: he is a PI of the EU H2020 project CLARIFY, and he won an ICLR 2021...

Luca Franceschi

Luca Franceschi

Research Fellow

Luca Franceschi

Luca is an ML researcher working on meta-learning, hybrid models, and optimization. He recently entered the fascinating world of NLP.

Oana-Maria Camburu

Oana-Maria Camburu

Senior Research Fellow

Oana-Maria Camburu

Oana works primarily on explainable neural networks, building models that generate human-like explanations for their predictions.

Linqing Liu

Linqing Liu

PhD Student

Linqing Liu

Linqing is a first year PhD student with broad interests in NLP and Machine Learning. She is currently working on question answering.

Max Bartolo

Max Bartolo

PhD Student

Max Bartolo

Max’s current research focuses on natural language processing, with particular interest in question answering and machine reasoning.

Maximilian Mozes

Maximilian Mozes

PhD Student

Maximilian Mozes

Maximilian’s research focuses on the intersection of adversarial machine learning and natural language processing.

Mikayel Samvelyan

Mikayel Samvelyan

PhD Student

Mikayel Samvelyan

Mikayel’s interests lie in reinforcement learning, natural language processing and multi-agent systems.

Minqi Jiang

Minqi Jiang

PhD student

Minqi Jiang

Minqi studies how decision-making agents can make use of compositional structures, like language, to learn more generalizable behaviors.

Patrick Lewis

Patrick Lewis

PhD Student

Patrick Lewis

Patrick is a first year PhD student, interested in Transfer Learning, Machine Reading and leveraging world knowledge to improve predictions...

Tom Crossland

Tom Crossland

PhD Student

Tom Crossland

Tom is an astrophysicist working with the MR group and the Mullard Space Science Laboratory, interested in Machine Learning applications to...

Yao Lu

Yao Lu

PhD Student

Yao Lu

Yao is interested in everything.

Yihong Chen

Yihong Chen

PhD Student

Yihong Chen

Yihong is interested in almost everything, currently working on methods that empower efficient learning of symbols, particularly...

Yuxiang Wu

Yuxiang Wu

PhD Student

Yuxiang Wu

Yuxiang is a third-year PhD student, interested in Question Answering, Knowledge Base, and other knowledge related tasks.

Zhengyao Jiang

Zhengyao Jiang

PhD Student

Zhengyao Jiang

Zhengyao is interested in topics about reinforcement leanring, relational inductive bias, and bridging symbolic reasoning and deep learning....

Sophie Ostler

Sophie Ostler

Group Administrator

Sophie Ostler

Sophie is our admin extraordinaire who somehow manages to keep everything running smoothly.

Alumni

Matko Bošnjak

Matko Bošnjak

Now a Research Scientist at DeepMind

Matko Bošnjak

Former PhD Student

Alastair Roberts

Alastair Roberts

Alastair’s interests lie in natural language processing & machine learning.

Alastair Roberts

Former Visiting Researcher

Johannes Welbl

Johannes Welbl

Now a Research Scientist at DeepMind

Johannes Welbl

Former PhD Student

Luke Hewitt

Luke Hewitt

Now a PhD student at MIT

Luke Hewitt

Former Intern

Gerasimos Lampouras

Gerasimos Lampouras

Now a research associate at University of Sheffield

Gerasimos Lampouras

Former Research Associate

Saku Sugawara

Saku Sugawara

Now back to being a Ph.D. student at the University of Tokyo.

Saku Sugawara

Former Visiting PhD Student

Sonse Shimaoka

Sonse Shimaoka

Now a master student at Tohoku University

Sonse Shimaoka

Former Intern

Zhao Zhang

Zhao Zhang

Now back to being a PhD student at the Chinese Academy of Sciences.

Zhao Zhang

Former Visiting PhD Student

Andreas Vlachos

Andreas Vlachos

Now a senior lecturer at University of Cambridge

Andreas Vlachos

Former Research Associate

Guillaume Bouchard

Guillaume Bouchard

Now CEO at CheckStep

Guillaume Bouchard

Former Senior Research Associate

Thomas Demeester

Thomas Demeester

Now a post-doc at University of Ghent

Thomas Demeester

Former Visiting Researcher

Jason Naradowsky

Jason Naradowsky

Now a research scientist at Preferred Networks (PFN)

Jason Naradowsky

Former Research Associate

Théo Trouillon

Théo Trouillon

Now back to being a PhD student at Xerox Research Centre Europe

Théo Trouillon

Former Visiting PhD Student

Marzieh Saeidi

Marzieh Saeidi

Now a Research Scientist at Facebook

Marzieh Saeidi

Former Research Scientist at Facebook

Isabelle Augenstein

Isabelle Augenstein

Now an associate professor at University of Copenhagen

Isabelle Augenstein

Former Research Associate

Naoya Inoue

Naoya Inoue

Now an assistant professor at Tohoku University

Naoya Inoue

Former Visiting Researcher

Tim Dettmers

Tim Dettmers

Now a PhD student at University of Washington

Tim Dettmers

Former Intern

V. Ivan Sanchez

V. Ivan Sanchez

Now an NLP researcher at Lenovo

V. Ivan Sanchez

Former PhD Student

Andres Campero

Andres Campero

Now back to being a PhD student at MIT

Andres Campero

Former Visiting PhD Student

Takuma Yoneda

Takuma Yoneda

Now a student at Toyota Technological Institute at Chicago

Takuma Yoneda

Former Intern

Georgios Spithourakis

Georgios Spithourakis

Now a ML engineer at PolyAI

Georgios Spithourakis

Former PhD Student

Publications

In NAACL, 2022.

In ACL, 2022.

EMNLP 2021.

AKBC 2021.

NeurIPS, 2021.

In EMNLP, 2021.

Datasets

A synthetic dataset of 315k QA pairs on passages from SQuAD designed to help make QA models more robust to human adversaries. This resource is also available in HuggingFace datasets at https://huggingface.co/datasets/mbartolo/synQA.

A dataset of 36k challenging extractive QA pairs consisting of training, evaluation and test data collected using three different models-in-the-loop: BiDAF, BERT and RoBERTa.

A resource for training, evaluating and analyzing NLP models on Knowledge Intensive Language Tasks. KILT has been built from 11 datasets representing 5 tasks.

A multi-way aligned extractive QA evaluation benchmark MLQA contains QA instances in 7 languages, English, Arabic, German, Spanish, Hindi, Vietnamese and Simplified Chinese.

A collection of 32k task instances based on real-world rules and crowd-generated questions and scenarios requiring both the interpretation of rules and the application of background knowledge.

Multi-hop question answering datasets from two different domains, designed to enabe models to combine disjoint pieces of textual evidence.