作者位次 #6/7ACL 2026Poster· Natural Language Processing
SADA : Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
Wenhao Gao · Tianlong Wang · Wei Jia · Linhao Zhang · Aiwei Liu · Miao Fan · Zhou Xiao
摘要
Prompt-based in-context learning (ICL) and parameter fine-tuning are two dominant paradigms for incorporating external information into large language models (LLMs), but they incur high inference costs or require expensive retraining. To bridge this gap, context-to-parameter mapping converts prom...