3 papers
cs.CR2026
Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
Jiaren Peng, Zeqin Li, Chang You +17
The rapid advancement of Large Language Models (LLMs) has created new opportunities for Automated Penetration Testing (AutoPT), spawning numerous frameworks aimed at achieving end-…
cs.CR2025
From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions
Jiaren Peng, Hongda Sun, Xuan Tian +3
The automation of Cyber Threat Intelligence (CTI) relies heavily on Named Entity Recognition (NER) to extract critical entities from unstructured text. Currently, Large Language Mo…
cs.CE2025
Measuring Investor Learning in Private Markets: A Sequential LLM-Bayesian Analysis of Expert Network Calls
Yidong Chai, Yanguang Liu, Xuan Tian +2
We study investor learning and information acquisition in private markets using a large dataset of expert network calls. We develop a sequential Large Language Model (LLM)-Bayesian…