7 papers
DeepSAGE: Stage-Aware Reinforcement Learning for Structured CBT Counseling Dialogue
Qi Zhang, Heajun An, Prakriti Dumaru +4
Large Language Model (LLM)-based counseling agents can generate fluent and supportive responses, but they often lack the structured, goal-directed progression required to conduct a…
StagePilot: Stage-Level Planning for Long-Horizon Dialogue Simulation in Cybergrooming
Heajun An, Qi Zhang, Minqian Liu +5
Cybergrooming is an evolving threat to youth, requiring proactive educational interventions. We address this by modeling dialogue progression as a structured planning problem over…
Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research
Heajun An, Marcos Silva, Qi Zhang +8
Cybergrooming exploits minors through online trust-building, yet research remains fragmented, limiting holistic prevention. Social sciences focus on behavioral insights, while comp…
Grounded but Misleading: Evaluating Semantic Alignment in AI-Generated Security Explanations
Heajun An, Connor Ng, Sandesh Sharma Dulal +2
Online scams increasingly leverage fluent and context-aware social engineering strategies, creating growing demand for AI systems that explain why a message may be risky. However,…
CR4T: Rewrite-Based Guardrails for Adolescent LLM Safety
Heajun An, Qi Zhang, Vedanth Achanta +1
Large language models (LLMs) are increasingly embedded in adolescent digital environments, mediating information seeking, advice, and emotionally sensitive interactions. Yet existi…
From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances
Xinyi Zhang, Mamtaj Akter, Heajun An +6
Cybergrooming is a form of online abuse that threatens teens' mental health and physical safety. Yet, most prior work has focused on detecting perpetrators' behaviors, leaving a li…