Nicole Meister

16 papers A* 2B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Benchmarking Distributional Alignment of Large Language Models.
NAACL (Long Papers)
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2024 J jnl
Benchmarking Distributional Alignment of Large Language Models.
CoRR
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2024 A* conf
Proving Test Set Contamination in Black-Box Language Models.
ICLR
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori Hashimoto
2024 — conf
Unifying Corroborative and Contributive Attributions in Large Language Models.
SaTML
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
2023 A* conf
Gender Artifacts in Visual Datasets.
ICCV
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2023 J jnl
Proving Test Set Contamination in Black Box Language Models.
CoRR
Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori B. Hashimoto
2023 J jnl
Unifying Corroborative and Contributive Attributions in Large Language Models.
CoRR
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
2022 — conf
Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
SDU@AAAI
Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt, Thien Huu Nguyen
2022 J jnl
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features.
CoRR
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
2022 J jnl
Gender Artifacts in Visual Datasets.
CoRR
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2022 — conf
HIVE: Evaluating the Human Interpretability of Visual Explanations.
ECCV (12)
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2022 J jnl
Improving Keyphrase Extraction with Data Augmentation and Information Filtering.
CoRR
Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt, Thien Huu Nguyen
2022 B conf
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
COLING
Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen
2022 J jnl
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
CoRR
Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen
2021 J jnl
HIVE: Evaluating the Human Interpretability of Visual Explanations.
CoRR
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
2021 J jnl
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CoRR
Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky