Scholar
Juhan Bae
Google Scholar ID: 9RFr4usAAAAJ
University of Toronto
Machine Learning
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Citations & Impact
All-time
Citations
917
H-index
14
i10-index
17
Publications
20
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0
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Publications
10 items
Gauss-Newton Unlearning for the LLM Era
2026
Cited
2
Exploring Training Data Attribution under Limited Access Constraints
2025
Cited
0
Better Training Data Attribution via Better Inverse Hessian-Vector Products
2025
Cited
0
$IF-GUIDE$: Influence Function-Guided Detoxification of LLMs
2025
Cited
0
Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition
2025
Cited
1
Spectral-factorized Positive-definite Curvature Learning for NN Training
2025
Cited
0
Training Data Attribution (TDA): Examining Its Adoption&Use Cases
2025
Cited
0
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
arXiv.org · 2024
Cited
1
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Resume (English only)
Academic Achievements
Published multiple papers on influence functions and data attribution in large language models, including:
“Studying Large Language Model Generalization with Influence Functions”
“Training Data Attribution via Approximate Unrolled Differentiation”
“What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions”
“If Influence Functions are the Answer, Then What is the Question?”
“Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models”
“Influence Functions for Scalable Data Attribution in Diffusion Models”
“IF-Guide: Influence Function-Guided Detoxification of LLMs”
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Co-authors: 0 (list not available)
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