Nicole Meister

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Keyphrase Extraction

Language Modelling

Visual Attributes

Top Venues

Publications

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