One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning
arXiv:2605.06166v1 Announce Type: new
Abstract: In Large Language Model (LLM) fine-tuning, parameter and data selection are common strategies for reducing fine-tuning cost, yet they are typically driven by separate scoring mechanisms. When a parameter…