Phoebe Mulcaire

According to our database, Phoebe Mulcaire authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Span Labeling with Large Language Models: Shell vs. Meat.

Phoebe Mulcaire, Nitin Madnani

Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

2024

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration.

James Sharpnack, Kevin Hao, Phoebe Mulcaire, Klinton Bicknell, Geoffrey T. LaFlair, Kevin P. Yancey, Alina A. von Davier

CoRR, 2024

AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning.

James Sharpnack, Phoebe Mulcaire, Klinton Bicknell, Geoffrey T. LaFlair, Kevin P. Yancey

CoRR, 2024

BERT-IRT: Accelerating Item Piloting with BERT Embeddings and Explainable IRT Models.

Kevin P. Yancey, Andrew Runge, Geoffrey T. LaFlair, Phoebe Mulcaire

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2023

Automated evaluation of written discourse coherence using GPT-4.

Ben Naismith, Phoebe Mulcaire, Jill Burstein

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Crosslingual Sharing for Low-Resource Natural Language Processing

Phoebe Mulcaire

PhD thesis, 2022

2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Grounded Compositional Outputs for Adaptive Language Modeling.

Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Polyglot Contextual Representations Improve Crosslingual Transfer.

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Low-Resource Parsing with Crosslingual Contextualized Representations.

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

Technology-Enabled Disinformation: Summary, Lessons, and Recommendations.

John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy H. Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett, Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska Roesner

CoRR, 2018

Polyglot Semantic Role Labeling.

Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018