Andrew Lee
15 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(12)
Natural Language Processing
(6)
Learning Types Β· Machine Learning
(6)
Application Areas
(4)
Applications
(4)
Core Methods
(4)
Deep Learning
(3)
Generation
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Learning Types Β· Deep Learning
(2)
Interdisciplinary
(1)
Keywords
large language model
(3)
intent classification
(2)
representation learning
(2)
benchmark evaluation
(1)
text classification
(1)
graph theory
(1)
sentiment analysis
(1)
interpretability
(1)
direct preference optimization
(1)
self-supervised learning
(1)
in-context learning
(1)
conversational ai
(1)
preference optimization
(1)
mental health analysis
(1)
energy minimization
(1)
synthetic data evaluation
(1)
task-oriented dialogue
(1)
curriculum learning
(1)
natural language understanding
(1)
algorithmic fairness
(1)
Papers
From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?
ACL 2026
Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization
ACL 2025
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
EMNLP 2025
ICLR: In-Context Learning of Representations
ICLR 2025
A Comparative Multidimensional Analysis of Empathetic Systems
EACL 2024
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
ICML 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
NeurIPS 2024
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
IJCAI 2024
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
COLING 2024
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
COLING 2024
Emergent Linear Representations in World Models of Self-Supervised Sequence Models
EMNLP 2023
Empathy Identification Systems are not Accurately Accounting for Context
EACL 2023
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
EMNLP 2021
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
EMNLP 2019
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
NAACL 2019