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Pontus Stenetorp

Pontus Stenetorp

Professor

Pontus Stenetorp

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

Sebastian Riedel

Sebastian Riedel

Honorary Professor

Sebastian Riedel

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

David Adelani

David Adelani

Senior Research Fellow

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.

Xuanli He

Xuanli He

Research Fellow

Xuanli He

Eduardo Sánchez

Eduardo Sánchez

PhD Student

Eduardo Sánchez

Eduardo is interested in low-resource languages.

Jiayi Wang

Jiayi Wang

PhD Student

Jiayi Wang

Jiayi is interested in Multilingual LLMs, Machine Translation, and Human-Computer Interactive NLP.

Karen Hambardzumyan

Karen Hambardzumyan

PhD Student

Karen Hambardzumyan

Karen is interested in interpretability and faithfulness of LLMs. His research focuses on understanding and improving how these complex...

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.

Lovish Madaan

Lovish Madaan

PhD Student

Lovish Madaan

Lovish is interested in NLP and large language models, specifically evaluations, generalization, and efficiency.

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.

Sohee Yang

Sohee Yang

PhD student

Sohee Yang

Sohee Yang is a PhD student/research scientist intern at UCL/DeepMind, exploring ways to enhance the reasoning of NLP/ML systems.

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.

Alice Winters

Alice Winters

Group Administrator

Alice Winters

Alice joined the NLP group in September 2022 as PA to Pontus Stenetorp and group administrator.

Alumni

Tim Rocktäschel

Tim Rocktäschel

Now a Postdoc at Oxford University

Tim Rocktäschel

Former Affiliated Faculty (Associate Professor)

Pasquale Minervini

Pasquale Minervini

Now an Associate Professor at Edinburgh University

Pasquale Minervini

Former Senior Research Fellow, Principal Investigator for H2020 CLARIFY

Luca Franceschi

Luca Franceschi

Now a Research Scientist at Amazon

Luca Franceschi

Former Research Fellow

Maximilian Mozes

Maximilian Mozes

Now a Member of Technical Staff at Cohere

Maximilian Mozes

Former PhD Student

Patrick Lewis

Patrick Lewis

Now a Research Scientist at FAIR

Patrick Lewis

Former PhD Student

Tom Crossland

Tom Crossland

Now a a Teaching Fellow at Imperial College London

Tom Crossland

Former PhD Student

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.