Author

Kaiyan Chang

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Preprint Aug 2026

D$^2$F-ReAG: Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented Generation

This work proposes Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented Generation (D2F-ReAG), a novel paradigm that adaptively controls reasoning depth by judging the reliability of the root-level reasoning.

Jiaoyang Li, Junhao Ruan, Shengwei Tang et al. · 0 citations