Nicole Meister

Orcid: 0000-0002-7154-6882

According to our database1, Nicole Meister authored at least 10 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Benchmarking Distributional Alignment of Large Language Models.
CoRR, 2024

Unifying Corroborative and Contributive Attributions in Large Language Models.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Proving Test Set Contamination in Black-Box Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Gender Artifacts in Visual Datasets.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Improving Keyphrase Extraction with Data Augmentation and Information Filtering.
CoRR, 2022

ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features.
CoRR, 2022

HIVE: Evaluating the Human Interpretability of Visual Explanations.
Proceedings of the Computer Vision - ECCV 2022, 2022

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CoRR, 2021


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