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large language models 1self-improving models 1shortcut connections 1training-free finetuning 1vision-language models 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Self-Improving is Often Sudden: Enlightenment-style Finetuning for Large-Scale Models

Jing-Xiao Liao, Tianwei Zhang, Yu-Hao Jiang +3

The paper proposes Enlightenment, a training-free post‑tuning method that adds shortcut connections to key layers of large language and vision‑language models, enabling sudden perf…