DiReCT reformulates LLM annealing sample selection as a constrained optimization problem that enforces per-sample gradient directions aligned with the loss landscape's curvature.
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Towards Efficient LLMs Annealing with Principled Sample Selection
DiReCT reformulates LLM annealing sample selection as a constrained optimization problem that enforces per-sample gradient directions aligned with the loss landscape's curvature.