Andrew Lee

32 papers A* 3A 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decomposing Query-Key Feature Interactions Using Contrastive Covariances.
CoRR
Andrew Lee, Yonatan Belinkov, Fernanda B. Viégas, Martin Wattenberg
2025 — conf
Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization.
ACL (Findings)
Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea
2025 J jnl
Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization.
CoRR
Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea
2025 J jnl
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
CoRR
Aaron Mueller, Andrew Lee, Shruti Joshi, Ekdeep Singh Lubana, Dhanya Sridhar, Patrik Reizinger
2025 A* conf
ICLR: In-Context Learning of Representations.
ICLR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
ICLR: In-Context Learning of Representations.
CoRR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry.
CoRR
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
2025 J jnl
Shared Global and Local Geometry of Language Model Embeddings.
CoRR
Andrew Lee, Melanie Weber, Fernanda B. Viégas, Martin Wattenberg
2025 J jnl
The Geometry of Self-Verification in a Task-Specific Reasoning Model.
CoRR
Andrew Lee, Lihao Sun, Chris Wendler, Fernanda B. Viégas, Martin Wattenberg
2025 J jnl
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls.
CoRR
Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee
2024 — conf
A Comparative Multidimensional Analysis of Empathetic Systems.
EACL (1)
Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea
2024 A* conf
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
ICML
Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea
2024 J jnl
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
CoRR
Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea
2024 A* conf
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
NeurIPS
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
CoRR
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 — conf
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.
LREC/COLING
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
2024 — —
Interpretability and Controllability in the Age of Language Models
Andrew Lee
2024 — conf
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data.
LREC/COLING
Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea
2024 J jnl
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data.
CoRR
Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea
2023 J jnl
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.
CoRR
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
2023 — conf
Emergent Linear Representations in World Models of Self-Supervised Sequence Models.
BlackboxNLP@EMNLP
Neel Nanda, Andrew Lee, Martin Wattenberg
2023 J jnl
Emergent Linear Representations in World Models of Self-Supervised Sequence Models.
CoRR
Neel Nanda, Andrew Lee, Martin Wattenberg
2023 A conf
Empathy Identification Systems are not Accurately Accounting for Context.
EACL
Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea
2023 J jnl
Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss.
CoRR
Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason Weston
2022 J jnl
Augmenting Task-Oriented Dialogue Systems with Relation Extraction.
CoRR
Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld
2022 J jnl
Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines.
CoRR
Andrew Lee, David Wu, Emily Dinan, Mike Lewis
2021 — conf
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health.
EMNLP (Findings)
Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea
2021 J jnl
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health.
CoRR
Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea
2019 — conf
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
EMNLP/IJCNLP (1)
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
2019 J jnl
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.
CoRR
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
2019 — conf
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
NAACL-HLT (1)
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2019 J jnl
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.
CoRR
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars