一作ACL 2026Poster· Natural Language Processing
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models
Nitin Vetcha · Binqian Xu · Dianbo Liu
摘要
Fine-tuning large language models (LLMs) for downstream tasks remains expensive, even with parameter-efficient methods like Low-Rank Adaptation (LoRA). In this regard, meta-learning approaches such as Model-Agnostic Meta-Learning for LLMs (MAML-en-LLM) and Amortized Bayesian Meta-Learning for LoR...