Juhan Bae

Influence Functions for Scalable Data Attribution in Diffusion Models

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Accelerating neural network training: An analysis of the AlgoPerf competition

Better Training Data Attribution via Better Inverse Hessian-Vector Products

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

IF-Guide: Influence Function-Guided Detoxification of LLMs

Large-Scale Training Data Attribution with Efficient Influence Functions

Fast Fractional Natural Gradient Descent using Learnable Spectral Factorizations

Training Data Attribution via Approximate Unrolling