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Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
The goal is to minimize the need for costly domain-specific data for subsequent fine-tuning while achieving desired performance levels.
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Most poisoning defenses presume access to a set of clean data (or base set).
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