Training-data attribution as a discovery method for capability provenance in language models. COLM 2026.
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Updated
Aug 23, 2026 - JavaScript
Training-data attribution as a discovery method for capability provenance in language models. COLM 2026.
Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
Code for the paper "Fast Data Attribution for Text-to-Image Models"
Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions
Git-bisect for neural networks: trace behavioral changes across checkpoints to internal mechanisms, influential training data, and counterfactual causal evidence.
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