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Nicole Meister
Nicole Meister
PhD Student, Stanford University
在 stanford.edu 的电子邮件经过验证
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引用次数
引用次数
年份
HIVE: Evaluating the human interpretability of visual explanations
SSY Kim, N Meister, VV Ramaswamy, R Fong, O Russakovsky
European Conference on Computer Vision, 280-298, 2022
782022
Proving test set contamination in black box language models
Y Oren, N Meister, N Chatterji, F Ladhak, TB Hashimoto
arXiv preprint arXiv:2310.17623, 2023
462023
Gender artifacts in visual datasets
N Meister, D Zhao, A Wang, VV Ramaswamy, R Fong, O Russakovsky
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
242023
Macronym: A large-scale dataset for multilingual and multi-domain acronym extraction
APB Veyseh, N Meister, S Yoon, R Jain, F Dernoncourt, TH Nguyen
arXiv preprint arXiv:2202.09694, 2022
222022
Multilingual acronym extraction and disambiguation shared tasks at sdu 2022
APB Veyseh, N Meister, S Yoon, R Jain, F Dernoncourt, TH Nguyen
Proceedings of SDU@ AAAI-22, 2022
122022
Unifying corroborative and contributive attributions in large language models
T Worledge, JH Shen, N Meister, C Winston, C Guestrin
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 665-683, 2024
72024
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features
VV Ramaswamy, SSY Kim, N Meister, R Fong, O Russakovsky
arXiv preprint arXiv:2206.07690, 2022
72022
Embedding societal values into social media algorithms
M Bernstein, A Christin, J Hancock, T Hashimoto, C Jia, M Lam, N Meister, ...
Journal of Online Trust and Safety 2 (1), 2023
52023
Hive: evaluating the human interpretability of visual explanations
SSY Kim, N Meister, VV Ramaswamy, R Fong, O Russakovsky
arXiv preprint arXiv:2112.03184, 2021
52021
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
APB Veyseh, N Meister, F Dernoncourt, TH Nguyen
arXiv preprint arXiv:2209.04951, 2022
12022
Improving keyphrase extraction with data augmentation and information filtering
A Pouran Ben Veyseh, N Meister, F Dernoncourt, TH Nguyen
arXiv e-prints, arXiv: 2209.04951, 2022
12022
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop
APB Veyseh, N Meister, F Dernoncourt, TH Nguyen
12022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
A Pouran Ben Veyseh, N Meister, S Yoon, R Jain, F Dernoncourt, T Huu
Proceedings of the 29th International Conference on Computational …, 2022
2022
Towards Interpretable and Fair Computer Vision
N Meister
2022
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
SSY Kim, S Zhang, N Meister, O Russakovsky
arXiv preprint arXiv:2104.13582, 2021
2021
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