Katherine Lee
16 papers · 2004–2025 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
👥
Mega-Team · Legion
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Keyword Champion
(5)
🏆
Grand Slam
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Natural Language Processing
(8)
Core AI
(7)
Application Areas
(6)
Resources & Methods
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Paradigms
(3)
Learning Types
(3)
Optimization & Theory
(3)
Generation
(2)
Models
(2)
Security & Privacy
(1)
Architectures
(1)
Keywords
language model
(8)
training data
(5)
large language model
(2)
privacy attack
(2)
model forgetting
(1)
transfer learning
(1)
binary classification
(1)
model distillation
(1)
non-convex optimization
(1)
model evaluation
(1)
knowledge distillation
(1)
fair classification
(1)
model alignment
(1)
machine learning
(1)
fairness metric
(1)
ensemble method
(1)
ensemble learning
(1)
data quality
(1)
model scaling
(1)
few-shot learning
(1)
Papers
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
ICML 2025
Measuring memorization in language models via probabilistic extraction
NAACL 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
ACL 2025
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
ICLR 2025
Scalable Extraction of Training Data from Aligned, Production Language Models
ICLR 2025
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
Stealing part of a production language model
ICML 2024
Counterfactual Memorization in Neural Language Models
NeurIPS 2023
Measuring Forgetting of Memorized Training Examples
ICLR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Quantifying Memorization Across Neural Language Models
ICLR 2023
Students Parrot Their Teachers: Membership Inference on Model Distillation
NeurIPS 2023
Deduplicating Training Data Makes Language Models Better
ACL 2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
JMLR 2020
Analysis and Detection of Reading Miscues for Interactive Literacy Tutors
COLING 2004