regression-model

RegMix-D extends RegMix to dynamic data mixing by using loss trajectories from proxy runs to predict optimal mixtures at multiple training stages, achieving improvements over static methods.

EditLens is a regression model that quantifies the extent of AI editing in text, achieving state-of-the-art performance on binary and ternary classification tasks distinguishing human, AI, and mixed writing. It addresses the gap in detecting AI-edited rather than fully AI-generated text, with implications for authorship attribution, education, and policy.