作者位次 #3/6ACL 2026Findings· Findings of ACL
Do Generalisation Results Generalise?
Matteo Boglioni · Andrea Sgobbi · Gabriel Tavernini · Francesco Rita · Marius Mosbach · Tiago Pimentel
摘要
A large language model’s (LLM’s) out-of-distribution (OOD) generalisation is crucial to its deployment. Previous work assessing LLMs’ generalisation performance, however, typically focuses on a single out-of-distribution dataset. This approach may fail to precisely evaluate the capabilities of th...