5 papers
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-…
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…
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
Hongda Sun, Jiaren Peng, Wenzhong Yang +3
Medical dialogue systems (MDS) have emerged as crucial online platforms for enabling multi-turn, context-aware conversations with patients. However, existing MDS often struggle to…
Argument-Centric Causal Intervention Method for Mitigating Bias in Cross-Document Event Coreference Resolution
Long Yao, Wenzhong Yang, Yabo Yin +5
Cross-document Event Coreference Resolution (CD-ECR) is a fundamental task in natural language processing (NLP) that seeks to determine whether event mentions across multiple docum…
One Small and One Large for Document-level Event Argument Extraction
Jiaren Peng, Hongda Sun, Wenzhong Yang +3
Document-level Event Argument Extraction (EAE) faces two challenges due to increased input length: 1) difficulty in distinguishing semantic boundaries between events, and 2) interf…