一作ACL 2026Poster· Natural Language Processing
R e TRE : Benchmarking LLM Transfer Robustness with Structure-Preserving Variants
ZhongDong Li · Weijie Shi · Yue Cui · Haolun MA · Yuanjun Liu · Jiawei Li · An Liu · Jia Zhu · Jiajie Xu
摘要
Large language models (LLMs) have achieved strong performance on standard benchmarks, yet their performance is not robust across different task manifestations. It remains unclear how performance changes under controlled task rewrites that preserve the original solution structure, while varying th...