Unfortunately, I won't be able to attend #ICML2025 in person due to visa delays. But I'm excited to share our paper in ICML: "Large Language Models are Demonstration Pre-Selectors for Themselves"! 🧠📄 💡 What if LLMs could help pick better examples for themselves? We propose FEEDER, a framework that lets LLMs pre-select a small but powerful subset of training data based on sufficiency and necessity, cutting costs, boosting performance, and generalizing across tasks. Come check it out!