Max Bartolo

Max Bartolo

University College London

H-index: 10

Europe-United Kingdom

About Max Bartolo

Max Bartolo, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University College London, specializes in the field of Machine Learning, NLP.

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

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation

Dataperf: Benchmarks for data-centric ai development

Aya dataset: An open-access collection for multilingual instruction tuning

DMLR: Data-centric Machine Learning Research--Past, Present and Future

Human Feedback is not Gold Standard

Adversarial nibbler: A data-centric challenge for improving the safety of text-to-image models

Adversarial Nibbler: A DataPerf Challenge for Text-to-Image Models

Max Bartolo Information

University

Position

___

Citations(all)

1389

Citations(since 2020)

1379

Cited By

77

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Max Bartolo Skills & Research Interests

Machine Learning

NLP

Top articles of Max Bartolo

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

arXiv preprint arXiv:2404.16019

2024/4/24

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation

arXiv preprint arXiv:2403.12075

2024/2/14

Aya dataset: An open-access collection for multilingual instruction tuning

arXiv preprint arXiv:2402.06619

2024/2/9

Human Feedback is not Gold Standard

arXiv preprint arXiv:2309.16349

2023/9/28

Phil Blunsom
Phil Blunsom

H-Index: 39

Max Bartolo
Max Bartolo

H-Index: 3

Adversarial nibbler: A data-centric challenge for improving the safety of text-to-image models

arXiv preprint arXiv:2305.14384

2023/5/22

Adversarial Nibbler: A DataPerf Challenge for Text-to-Image Models

2023

Proceedings of the First Workshop on Dynamic Adversarial Data Collection

2022/7

Max Bartolo
Max Bartolo

H-Index: 3

Robin Jia
Robin Jia

H-Index: 10

Dynatask: A framework for creating dynamic AI benchmark tasks

arXiv preprint arXiv:2204.01906

2022/4/5

Winoground: Probing vision and language models for visio-linguistic compositionality

2022

A global community of courts? Modelling the use of persuasive authority as a complex network

Frontiers in Physics

2021/7/6

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

arXiv preprint arXiv:2104.08678

2021/4/18

Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity

arXiv preprint arXiv:2104.08786

2021/4/18

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants

arXiv preprint arXiv:2112.09062

2021/12/16

Contrasting human-and machine-generated word-level adversarial examples for text classification

EMNLP 2021

2021/9/9

Undersensitivity in Neural Reading Comprehension

EMNLP (Findings) 2020

2020/2/15

Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension

arXiv preprint arXiv:2002.00293

2020/2/2

Max Bartolo
Max Bartolo

H-Index: 3

Sebastian Riedel
Sebastian Riedel

H-Index: 39

See List of Professors in Max Bartolo University(University College London)

Co-Authors

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