作者位次 #5/6ACL 2026Findings· Findings of ACL
Training-Free Test-Time Contrastive Learning for Large Language Models
Kaiwen Zheng · Kai Zhou · Jinwu Hu · Te Gu · Mingkai Peng · Fei Liu
摘要
Large language models (LLMs) demonstrate strong reasoning capabilities, but their performance often degrades under distribution shift. Existing test-time adaptation (TTA) methods rely on gradient-based updates that require white-box access and need substantial overhead, while training-free altern...