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ORCIDAndrew Lee 0001
Person information
- affiliation: Harvard University, School of Engineering and Applied Sciences, Columbia, MA, USA
- affiliation (PhD 2024): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Andrew Lee — disambiguation page
- Andrew Lee 0002
![[0009-0003-1909-1854]](https://dblp.org/img/orcid-mark.12x12.png "0009-0003-1909-1854")
(aka: Andrew Choong-Won Lee) — University of California Davis (UCD), Department of Computer Science, CA, USA - Andrew Lee 0003 (aka: Andrew S. Lee 0003) — St. Thomas Aquinas College, School of STEM, Sparkill, NY, USA
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2020 – today
- 2026
[c13]Aaron Mueller, Andrew Lee, Shruti Joshi, Ekdeep Singh Lubana, Dhanya Sridhar, Patrik Reizinger:
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? ACL (1) 2026: 17188-17210- [i20]Andrew Lee, Yonatan Belinkov, Fernanda B. Viégas, Martin Wattenberg:
Decomposing Query-Key Feature Interactions Using Contrastive Covariances. CoRR abs/2602.04752 (2026) - [i19]Andrew Lee, Fernanda B. Viégas, Martin Wattenberg:
Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions. CoRR abs/2605.09967 (2026) - 2025
- [c12]Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea:
Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization. ACL (Findings) 2025: 13750-13770 - [c11]Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka:
ICLR: In-Context Learning of Representations. ICLR 2025 - [i18]Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka:
ICLR: In-Context Learning of Representations. CoRR abs/2501.00070 (2025) - [i17]Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea:
Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization. CoRR abs/2503.00018 (2025) - [i16]Andrew Lee, Melanie Weber, Fernanda B. Viégas, Martin Wattenberg:
Shared Global and Local Geometry of Language Model Embeddings. CoRR abs/2503.21073 (2025) - [i15]Andrew Lee, Lihao Sun, Chris Wendler, Fernanda B. Viégas, Martin Wattenberg:
The Geometry of Self-Verification in a Task-Specific Reasoning Model. CoRR abs/2504.14379 (2025) - [i14]Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee:
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls. CoRR abs/2510.00184 (2025) - [i13]Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg:
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry. CoRR abs/2510.08638 (2025) - [i12]Aaron Mueller, Andrew Lee, Shruti Joshi, Ekdeep Singh Lubana, Dhanya Sridhar, Patrik Reizinger:
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? CoRR abs/2512.15134 (2025) - 2024
- [b1]Andrew Lee:
Interpretability and Controllability in the Age of Language Models. University of Michigan, USA, 2024 - [c10]Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea:
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. LREC/COLING 2024: 8050-8094 - [c9]Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea:
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data. LREC/COLING 2024: 16378-16391 - [c8]Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
A Comparative Multidimensional Analysis of Empathetic Systems. EACL (1) 2024: 179-189 - [c7]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. ICML 2024: 26361-26378 - [c6]Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. NeurIPS 2024 - [i11]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. CoRR abs/2401.01967 (2024) - [i10]Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea:
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data. CoRR abs/2403.16909 (2024) - [i9]Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka:
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space. CoRR abs/2406.19370 (2024) - 2023
- [c5]Neel Nanda, Andrew Lee, Martin Wattenberg:
Emergent Linear Representations in World Models of Self-Supervised Sequence Models. BlackboxNLP@EMNLP 2023: 16-30 - [c4]Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea:
Empathy Identification Systems are not Accurately Accounting for Context. EACL 2023: 1678-1687 - [i8]Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea:
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. CoRR abs/2305.12544 (2023) - [i7]Neel Nanda, Andrew Lee, Martin Wattenberg:
Emergent Linear Representations in World Models of Self-Supervised Sequence Models. CoRR abs/2309.00941 (2023) - [i6]Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason Weston:
Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss. CoRR abs/2312.16682 (2023) - 2022
- [i5]Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld:
Augmenting Task-Oriented Dialogue Systems with Relation Extraction. CoRR abs/2210.13344 (2022) - [i4]Andrew Lee, David Wu, Emily Dinan, Mike Lewis:
Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines. CoRR abs/2212.08195 (2022) - 2021
- [c3]Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea:
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health. EMNLP (Findings) 2021: 4257-4272 - [i3]Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health. CoRR abs/2109.13770 (2021)
2010 – 2019
- 2019
- [c2]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 2019: 1311-1316 - [c1]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) 2019: 517-527 - [i2]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR abs/1904.03122 (2019) - [i1]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR abs/1909.02027 (2019)
Coauthor Index
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