3 papers
cs.CE2026
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…
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…