Max Bartolo

According to our database1, Max Bartolo authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
CoRR, 2024

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.
CoRR, 2024

2023
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR, 2023

Human Feedback is not Gold Standard.
CoRR, 2023

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models.
CoRR, 2023


2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Dynabench: Rethinking Benchmarking in NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension.
Trans. Assoc. Comput. Linguistics, 2020

Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension.
CoRR, 2020

Undersensitivity in Neural Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Pre-trained Contextual Embeddings for Litigation Code Classification.
Proceedings of the First Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

2018
Interpretation of Natural Language Rules in Conversational Machine Reading.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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