This work introduces RESCUE (Reasoning-Error Sparse-Circuit Uncovering and Editing), a framework that localizes error-associated circuits and surgically repairs them for performance enhancement, and introduces a pruning technique and precisely fine-tunes error circuits to correct task failures, thereby translating erro...
Chuan-Pu-Zou-Sheng-Li-Guo-Jing-Zhong-Gu-Yue-Shu-Ca Liu, Miao Yu, Yi-Kai Cai et al.· 0 citations
This work proposed PLUME, a training-free method that constructs a global update representation, activates memory evidence to form a local parameter view, and adaptively integrates their predictions during decoding, which demonstrated its effectiveness in sequential evolution settings.
Xiao Shi, Zhe-Rui Li, Yi-Ming Jiang et al.· 0 citations
GRAFT, an IPP-oriented post-training framework combining constraint-aware SFT and preference optimization is proposed, an IPP-oriented post-training framework combining constraint-aware SFT and preference optimization that raises the average IIF score and preserves general generation ability.
Zheng Nie, Zhe-Rui Li, Jia-Ming Zhang et al.· 0 citations
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