Andrew Lee

According to our database, Andrew Lee authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

The Geometry of Self-Verification in a Task-Specific Reasoning Model.

Andrew Lee, Lihao Sun, Chris Wendler, Fernanda B. Viégas, Martin Wattenberg

CoRR, April, 2025

Shared Global and Local Geometry of Language Model Embeddings.

Andrew Lee, Melanie Weber, Fernanda B. Viégas, Martin Wattenberg

CoRR, March, 2025

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization.

Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea

CoRR, March, 2025

ICLR: In-Context Learning of Representations.

Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization.

Siyang Liu, Bianca Brie, Wenda Li, Laura Biester, Andrew Lee, James W. Pennebaker, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Interpretability and Controllability in the Age of Language Models

Andrew Lee

PhD thesis, 2024

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.

Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.

Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Comparative Multidimensional Analysis of Empathetic Systems.

Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data.

Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss.

Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason Weston

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

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

CoRR, 2023

Empathy Identification Systems are not Accurately Accounting for Context.

Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

Neel Nanda, Andrew Lee, Martin Wattenberg

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022

Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines.

Andrew Lee, David Wu, Emily Dinan, Mike Lewis

CoRR, 2022

Augmenting Task-Oriented Dialogue Systems with Relation Extraction.

Andrew Lee, Zhenguo Chen, Kevin Leach, Jonathan K. Kummerfeld

CoRR, 2022

2021

Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health.

Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.

Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019