作者位次 #2/6ACL 2026Findings· Findings of ACL
S tate X : Enhancing RNN Recall via Post-training State Expansion
Xingyu Shen · Yingfa Chen · Zhen Leng Thai · Xu Han · Zhiyuan Liu · Maosong Sun
摘要
Recurrent neural networks (RNNs), such as linear attention and state-space models, have gained popularity due to their constant per-token complexity when processing long contexts. However, these recurrent models struggle with tasks that require accurate recall of contextual information from long...