Michelle Yuan

According to our database, Michelle Yuan authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation.

Jyotika Singh, Fang Tu, Miguel Ballesteros, Weiyi Sun, Sandip Ghoshal, Michelle Yuan, Yassine Benajiba, Sujith Ravi, Dan Roth

CoRR, April, 2026

Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth.

Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection.

Michelle Yuan, Khushbu Pahwa, Shuaichen Chang, Mustafa Kaba, Jiarong Jiang, Xiaofei Ma, Yi Zhang, Monica Sunkara

CoRR, October, 2025

A Study on Leveraging Search and Self-Feedback for Agent Reasoning.

Karthikeyan K, Michelle Yuan, Elman Mansimov, Katerina Margatina, Anurag Pratik, Daniele Bonadiman, Monica Sunkara, Yi Zhang, Yassine Benajiba

CoRR, February, 2025

MemInsight: Autonomous Memory Augmentation for LLM Agents.

Rana Salama, Jason Cai, Michelle Yuan, Anna Currey, Monica Sunkara, Yi Zhang, Yassine Benajiba

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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