Sebastian Riedel

Sebastian Riedel

University College London

H-index: 65

Europe-United Kingdom

About Sebastian Riedel

Sebastian Riedel, With an exceptional h-index of 65 and a recent h-index of 54 (since 2020), a distinguished researcher at University College London, specializes in the field of Natural Language Processing, Machine Learning, Information Extraction.

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

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Improving wikipedia verifiability with ai

Can discrete information extraction prompts generalize across language models?

Gemini: a family of highly capable multimodal models

Improving language plasticity via pretraining with active forgetting

Prompt Optimisation with Random Sampling

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

Sebastian Riedel Information

University

Position

Professor @ Researcher @ Facebook AI Research

Citations(all)

25136

Citations(since 2020)

20185

Cited By

9892

hIndex(all)

65

hIndex(since 2020)

54

i10Index(all)

131

i10Index(since 2020)

109

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Sebastian Riedel Skills & Research Interests

Natural Language Processing

Machine Learning

Information Extraction

Top articles of Sebastian Riedel

Title

Journal

Author(s)

Publication Date

Do Large Language Models Latently Perform Multi-Hop Reasoning?

arXiv preprint arXiv:2402.16837

Sohee Yang

Elena Gribovskaya

Nora Kassner

Mor Geva

Sebastian Riedel

2024/2/26

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

arXiv preprint arXiv:2403.05530

Machel Reid

Nikolay Savinov

Denis Teplyashin

Dmitry Lepikhin

Timothy Lillicrap

...

2024/3/8

Improving wikipedia verifiability with ai

Nature Machine Intelligence

Fabio Petroni

Samuel Broscheit

Aleksandra Piktus

Patrick Lewis

Gautier Izacard

...

2023/10

Can discrete information extraction prompts generalize across language models?

arXiv preprint arXiv:2302.09865

Nathanaël Carraz Rakotonirina

Roberto Dessì

Fabio Petroni

Sebastian Riedel

Marco Baroni

2023/2/20

Gemini: a family of highly capable multimodal models

arXiv preprint arXiv:2312.11805

Gemini Team

Rohan Anil

Sebastian Borgeaud

Yonghui Wu

Jean-Baptiste Alayrac

...

2023/12/19

Improving language plasticity via pretraining with active forgetting

Advances in Neural Information Processing Systems

Yihong Chen

Kelly Marchisio

Roberta Raileanu

David Adelani

Pontus Lars Erik Saito Stenetorp

...

2023/12/15

Prompt Optimisation with Random Sampling

arXiv preprint arXiv:2311.09569

Yao Lu

Jiayi Wang

Sebastian Riedel

Pontus Stenetorp

2023/11/16

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

The Astrophysical Journal Supplement Series

Tom Crossland

Pontus Stenetorp

Daisuke Kawata

Sebastian Riedel

Thomas D Kitching

...

2023/11/13

Atlas: Few-shot learning with retrieval augmented language models

arXiv preprint arXiv:2208.03299

Gautier Izacard

Patrick Lewis

Maria Lomeli

Lucas Hosseini

Fabio Petroni

...

2022/8/5

An efficient memory-augmented transformer for knowledge-intensive nlp tasks

EMNLP 2022

Yuxiang Wu

Yu Zhao

Baotian Hu

Pasquale Minervini

Pontus Stenetorp

...

2022/10/30

EDIN: an end-to-end benchmark and pipeline for unknown entity discovery and indexing

arXiv preprint arXiv:2205.12570

Nora Kassner

Fabio Petroni

Mikhail Plekhanov

Sebastian Riedel

Nicola Cancedda

2022/5/25

Query expansion using contextual clue sampling with language models

arXiv preprint arXiv:2210.07093

Linqing Liu

Minghan Li

Jimmy Lin

Sebastian Riedel

Pontus Stenetorp

2022/10/13

Editeval: An instruction-based benchmark for text improvements

arXiv preprint arXiv:2209.13331

Jane Dwivedi-Yu

Timo Schick

Zhengbao Jiang

Maria Lomeli

Patrick Lewis

...

2022/9/27

Lifting the curse of multilinguality by pre-training modular transformers

NAACL 2022

Jonas Pfeiffer

Naman Goyal

Xi Victoria Lin

Xian Li

James Cross

...

2022/7/10

Refactor gnns: Revisiting factorisation-based models from a message-passing perspective

NeurIPS 2022

Yihong Chen

Pushkar Mishra

Luca Franceschi

Pasquale Minervini

Pontus Stenetorp

...

2022/7/20

Open vocabulary extreme classification using generative models

arXiv preprint arXiv:2205.05812

Daniel Simig

Fabio Petroni

Pouya Yanki

Kashyap Popat

Christina Du

...

2022/5/12

Proofver: Natural logic theorem proving for fact verification

TACL

Amrith Krishna

Sebastian Riedel

Andreas Vlachos

2022/7/5

Autoregressive search engines: Generating substrings as document identifiers

NeurIPS 2022

Michele Bevilacqua

Giuseppe Ottaviano

Patrick Lewis

Wen-tau Yih

Sebastian Riedel

...

2022/4/22

Multilingual autoregressive entity linking

Transactions of the Association for Computational Linguistics

Nicola De Cao

Ledell Wu

Kashyap Popat

Mikel Artetxe

Naman Goyal

...

2022/3/25

Peer: A collaborative language model

International Conference on Learning Representations

Timo Schick

Jane Dwivedi-Yu

Zhengbao Jiang

Fabio Petroni

Patrick Lewis

...

2022/8/24

See List of Professors in Sebastian Riedel University(University College London)

Co-Authors

H-index: 118
Andrew McCallum

Andrew McCallum

University of Massachusetts Amherst

H-index: 54
Sameer Singh

Sameer Singh

University of California, Irvine

H-index: 46
Tim Rocktäschel

Tim Rocktäschel

University College London

H-index: 41
Andreas Vlachos

Andreas Vlachos

University of Cambridge

H-index: 37
Isabelle Augenstein

Isabelle Augenstein

Københavns Universitet

H-index: 33
Guillaume BOUCHARD

Guillaume BOUCHARD

University College London

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