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Nicole Meister
Nicole Meister
PhD Student, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
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
652022
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
212023
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
212022
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
172023
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
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
62022
Robust and scalable deep learning for x-ray synchrotron image analysis
N Meister, Z Guan, J Wang, R Lashley, J Liu, J Lhermitte, K Yager, H Qin, ...
2017 New York Scientific Data Summit (NYSDS), 1-6, 2017
52017
Unifying corroborative and contributive attributions in large language models
T Worledge, JH Shen, N Meister, C Winston, C Guestrin
arXiv preprint arXiv:2311.12233, 2023
12023
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
12023
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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