Michelle Yuan

18 papers A* 2B 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth.
EACL (Volume 1: Long Papers)
Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba
2026 J jnl
Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth.
CoRR
Michelle Yuan, Weiyi Sun, Amir Rezaeian, Jyotika Singh, Sandip Ghoshal, Yao-Ting Wang, Miguel Ballesteros, Yassine Benajiba
2025 J jnl
A Study on Leveraging Search and Self-Feedback for Agent Reasoning.
CoRR
Karthikeyan K, Michelle Yuan, Elman Mansimov, Katerina Margatina, Anurag Pratik, Daniele Bonadiman, Monica Sunkara, Yi Zhang, Yassine Benajiba
2025 B conf
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly.
COLING
Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber
2025 J jnl
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection.
CoRR
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang, Mustafa Kaba, Jiarong Jiang, Xiaofei Ma, Yi Zhang, Monica Sunkara
2025 A* conf
MemInsight: Autonomous Memory Augmentation for LLM Agents.
EMNLP
Rana Salama, Jason Cai, Michelle Yuan, Anna Currey, Monica Sunkara, Yi Zhang, Yassine Benajiba
2025 J jnl
MemInsight: Autonomous Memory Augmentation for LLM Agents.
CoRR
Rana Salama, Jason Cai, Michelle Yuan, Anna Currey, Monica Sunkara, Yi Zhang, Yassine Benajiba
2024 J jnl
Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications.
CoRR
Raphael Shu, Nilaksh Das, Michelle Yuan, Monica Sunkara, Yi Zhang
2023 J jnl
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.
CoRR
Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber
2023 J jnl
MegaWika: Millions of reports and their sources across 50 diverse languages.
CoRR
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
2022 — conf
Adapting Coreference Resolution Models through Active Learning.
ACL (1)
Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber
2022 — —
Transfer Learning in Natural Language Processing through Interactive Feedback.
Michelle Yuan
2021 J jnl
Adaptive Active Learning for Coreference Resolution.
CoRR
Michelle Yuan, Patrick Xia, Benjamin Van Durme, Jordan L. Boyd-Graber
2020 — conf
Cold-start Active Learning through Self-supervised Language Modeling.
EMNLP (1)
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
2020 J jnl
Cold-start Active Learning through Self-supervised Language Modeling.
CoRR
Michelle Yuan, Hsuan-Tien Lin, Jordan L. Boyd-Graber
2020 — conf
Interactive Refinement of Cross-Lingual Word Embeddings.
EMNLP (1)
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
2019 J jnl
Interactive Refinement of Cross-Lingual Word Embeddings.
CoRR
Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber
2018 A* conf
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages.
NeurIPS
Michelle Yuan, Benjamin Van Durme, Jordan L. Ying