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Influence-driven Curriculum Learning for Pre-training on Limited Data

This paper demonstrates that replacing conventional human-centered difficulty metrics with model-centric training data influence scores enables curriculum learning to significantly outperform random-order pre-training on limited data, achieving over a 10 percentage point improvement in benchmarks.

Original authors: Loris Schoenegger, Lukas Thoma, Terra Blevins, Benjamin Roth

Published 2026-08-03
📖 1 min read☕ Coffee break read

Original authors: Loris Schoenegger, Lukas Thoma, Terra Blevins, Benjamin Roth

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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