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cs.CL2026
The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment
Gonçalo Paulo, Louis Jaburi, Nora Belrose +2
Fine-tuning large language models on narrow, misaligned tasks can undo their post-training alignment and induce novel misaligned behaviors -- a phenomenon known as \emph{emergent m…
cs.LG2026
Bergson: An Open Source Library for Data Attribution
Lucia Quirke, Louis Jaburi, David Johnston +6
Data attribution is a promising field in interpretability that aims to explain model behavior through the influence of its training data, with applications including debugging unde…