ICML 2024 "data quality selection" Papers

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Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Hao Zhao, Maksym Andriushchenko, Francesco Croce et al.

ICML 2024posterarXiv:2402.04833

QuRating: Selecting High-Quality Data for Training Language Models

Alexander Wettig, Aatmik Gupta, Saumya Malik et al.

ICML 2024spotlightarXiv:2402.09739