Michelle Yuan

According to our database, Michelle Yuan authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications.

Raphael Shu, Nilaksh Das, Michelle Yuan, Monica Sunkara, Yi Zhang

CoRR, 2024

2023

MegaWika: Millions of reports and their sources across 50 diverse languages.

Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme

CoRR, 2023

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2023

2022

Transfer Learning in Natural Language Processing through Interactive Feedback.

Michelle Yuan

PhD thesis, 2022

Adapting Coreference Resolution Models through Active Learning.

Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Adaptive Active Learning for Coreference Resolution.

Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2021

2020

Interactive Refinement of Cross-Lingual Word Embeddings.

Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber

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

Cold-start Active Learning through Self-supervised Language Modeling.

Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber

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

2018

Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages.

Michelle Yuan, Benjamin Van Durme, Jordan L. Ying

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018