Nicole Meister

According to our database, Nicole Meister authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unifying Corroborative and Contributive Attributions in Large Language Models.

Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

CoRR, 2023

Proving Test Set Contamination in Black Box Language Models.

Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori B. Hashimoto

CoRR, 2023

Gender Artifacts in Visual Datasets.

Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Improving Keyphrase Extraction with Data Augmentation and Information Filtering.

Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt, Thien Huu Nguyen

CoRR, 2022

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

Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky

CoRR, 2022

HIVE: Evaluating the Human Interpretability of Visual Explanations.

Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky

Proceedings of the Computer Vision - ECCV 2022, 2022

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.

Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon, Rajiv Jain, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.

Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt, Thien Huu Nguyen

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.

Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky

CoRR, 2021