AI RESEARCH
GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization
arXiv CS.AI
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ArXi:2604.11810v1 Announce Type: cross Large Language Models (LLMs) have nstrated remarkable capabilities in natural language understanding and generation. However, their immense number of parameters and complex transformer-based architectures result in significant resource demands and computational complexity during