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20242026
most citedFrom SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection

1 citations · 1 across the 7 of their papers we have counts for

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cs.LG2024

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization

Youpeng Li, Xinda Wang, Fuxun Yu +3

Federated learning (FL), an emerging distributed machine learning paradigm, has been applied to various privacy-preserving scenarios. However, due to its distributed nature, FL fac…

cs.CR2024

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation

Weiliang Qi, Jiahao Cao, Darsh Poddar +2

With the rapid development and widespread use of advanced network systems, software vulnerabilities pose a significant threat to secure communications and networking. Learning-base…