作者位次 #3/8ACL 2026Poster· Natural Language Processing
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
Bishwamittra Ghosh · Soumi Das · Till Speicher · Qinyuan Wu · Mohammad Aflah Khan · Deepak Garg · Krishna P. Gummadi · Evimaria Terzi
摘要
Large language models (LLMs) operate in two fundamental learning modes – fine-tuning (FT) and in-context learning (ICL) – raising key questions about which mode yields greater language proficiency and whether they differ in their inductive biases. Prior studies comparing FT and ICL have yielded m...