Author

Jiayun Zhang

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Preprint Aug 2026

Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence

TTP-R1 is proposed, a two-stage framework that combines retrieval-augmented supervised fine-tuning (SFT) with reinforcement learning using verifiable rewards (RLVR) and applies Group Relative Policy Optimization with a decomposed reward that directly supervises the precision, recall, and output format of the predicted...

Jiayun Zhang, Junshen Xu, Zejun Xie et al. · 0 citations