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fine-tuning performance

7 papers

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Co-occurring keywords · papers mentioning both

pre-trained model (2) evolutionary multi-objective optimization (1) probe testing (1) transferability measurement (1) intra-class feature variance (1) loras (1) adaptability (1) llm selection algorithm (1) pre-learned data size (1) rectified scaling law (1)

Papers

A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025 Selecting Large Language Model to Fine-tune via Rectified Scaling Law ICML 2024 Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance ICCV 2023 InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators EMNLP 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 Predicting Fine-Tuning Performance with Probing EMNLP 2022