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A fast, effective data attribution method for neural networks in PyTorch
Python 244 38
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
Jupyter Notebook 946 179
Data for "Datamodels: Predicting Predictions with Training Data"
Python 97 3
ModelDiff: A Framework for Comparing Learning Algorithms
Jupyter Notebook 59 4
Decomposing and Editing Predictions by Modeling Model Computation
Jupyter Notebook 137 7
Attribute (or cite) statements generated by LLMs back to in-context information.
Jupyter Notebook 338 24
website for NeurIPS 2026 workshop
A lightweight experimental logging library
Attribute statements generated by LLMs to preceding tokens using attention weights.
An LLM-powered search tool with citations provided by AT2
Residue Level Alignment
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