3 citations · 3 across the 3 of their papers we have counts for
4 papers
Experimental Settings in LLM-Based Program Repair: A Study of Inputs, Tool Access, Feedback, and Validation
Xushu Dai, Yicheng Cai, Nanqing Luo +1
Evaluations of automated program repair (APR) systems commonly report the benchmark, the number of repaired defects, and the tests used for final patch validation, but these items…
Why Machines Misread Pedagogical Quality: Human-Machine Alignment in LLM-Based Pretest Question Evaluation
Pei-Yu Tseng, Mahir Akgun, Peng Liu
Designing effective pretest questions is challenging at scale: high-quality questions require careful calibration of openness, cognitive depth, and alignment with learning objectiv…
From IOCs to Regex: Automating CTI Operationalization for SOC with LLMs
Pei-Yu Tseng, Lan Zhang, ZihDwo Yeh +3
Cyber Threat Intelligence (CTI) reports contain Indicators of Compromise (IOCs) that are critical for security operations. To operationalize these IOCs across heterogeneous logs, a…
Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers
PeiYu Tseng, ZihDwo Yeh, Xushu Dai +1
SIEM systems are prevalent and play a critical role in a variety of analyst workflows in Security Operation Centers. However, modern SIEMs face a big challenge: they still cannot r…