Simin Fan

PhD student, EPFL - EPF Lausanne

1 paper at NeurIPS 2025

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Poster Session 1

1 paper

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining

#5407 · Simin Fan, Maria Ios Glarou, Martin Jaggi

This paper introduces GRAPE, a novel multi-source-multi-target domain reweighting framework designed to calibrate pretraining data mixtures for robust performance across multiple target tasks simultaneously.