2 papers
cs.LG2026
Risk-Conditioned Fine-Tuning of Large Language Models
Zixuan Liu, Fangzheng Wu, Brian Summa +2
Large Language Models (LLMs) are increasingly deployed in settings where rare but severe harmful generations can have significant consequences. Existing Risk-Averse RLHF addresses…
cs.CR2026
Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning
Kun Liu, Zhengming Ding, Chenke Luo +4
Recovering indirect control-flow (ICF) edges is fundamental to binary security analysis, yet existing methods struggle with long-range dependencies, isolate different ICF types, an…