3 papers
cs.LG2026
Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks
Haokai Ma, Lee Yan Zhen, Gang Yang +3
Large language models are increasingly deployed in high-stakes tasks, where confident yet incorrect inferences may cause severe real-world harm, bringing the previously overlooked…
cs.CR2026
AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding
Haokai Ma, Javier Yong, Yunshan Ma +4
Cyber Threat Intelligence (CTI) reports document observations of cyber threats, synthesizing evidence about adversaries' actions and intent into actionable knowledge that informs d…
cs.CR2025
MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models
Yongheng Zhang, Xinyun Zhao, Yunshan Ma +5
Cyber Threat Intelligence (CTI) parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense ef…