DynaMiCS uses short probing runs to build a slope matrix of cross-domain effects and solves a constrained optimization over mixture weights to improve targets while respecting performance bounds on constrained domains.
Chen and Suchin Gururangan and Mitchell Wortsman and Alon Albalak and Yonatan Bitton and Marianna Nezhurina and Amro Abbas and Cheng
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DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures
DynaMiCS uses short probing runs to build a slope matrix of cross-domain effects and solves a constrained optimization over mixture weights to improve targets while respecting performance bounds on constrained domains.