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Max Bartolo
Max Bartolo
University College London, Research Scientist @CohereAI
Verified email at cs.ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Y Lu, M Bartolo, A Moore, S Riedel, P Stenetorp
arXiv preprint arXiv:2104.08786, 2021
1512021
Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
arXiv preprint arXiv:2104.14337, 2021
1512021
Interpretation of Natural Language Rules in Conversational Machine Reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
arXiv preprint arXiv:1809.01494, 2018
1142018
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
M Bartolo, A Roberts, J Welbl, S Riedel, P Stenetorp
arXiv preprint arXiv:2002.00293, 2020
882020
Winoground: Probing vision and language models for visio-linguistic compositionality
T Thrush, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
472022
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
M Bartolo, T Thrush, R Jia, S Riedel, P Stenetorp, D Kiela
arXiv preprint arXiv:2104.08678, 2021
362021
Undersensitivity in Neural Reading Comprehension
J Welbl, P Minervini, M Bartolo, P Stenetorp, S Riedel
arXiv preprint arXiv:2003.04808, 2020
132020
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
M Bartolo, T Thrush, S Riedel, P Stenetorp, R Jia, D Kiela
arXiv preprint arXiv:2112.09062, 2021
112021
Contrasting human-and machine-generated word-level adversarial examples for text classification
M Mozes, M Bartolo, P Stenetorp, B Kleinberg, LD Griffin
arXiv preprint arXiv:2109.04385, 2021
72021
Dynatask: A framework for creating dynamic AI benchmark tasks
T Thrush, K Tirumala, A Gupta, M Bartolo, P Rodriguez, T Kane, ...
arXiv preprint arXiv:2204.01906, 2022
52022
A global community of courts? Modelling the use of persuasive authority as a complex network
D Hoadley, M Bartolo, R Chesterman, A Faus, W Hernandez, B Kultys, ...
Frontiers in Physics 9, 665719, 2021
22021
Proceedings of the First Workshop on Dynamic Adversarial Data Collection
M Bartolo, H Kirk, P Rodriguez, K Margatina, T Thrush, R Jia, P Stenetorp, ...
Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 2022
2022
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