most citedEBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs

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cs.LG2026

Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration

Fanyi Wu, Lihua Niu, Samuel Kaski +1

Bayesian conformal optimisation methods often use the same held-out data both to search for efficient prediction sets and to certify coverage or risk. This coupling is natural for…

cs.LG2024★ 1 cited

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs

Song Guo, Fan Wu, Lei Zhang +5

Existing methods for fine-tuning sparse LLMs often suffer from resource-intensive requirements and high retraining costs. Additionally, many fine-tuning methods often rely on appro…