activity
20232026
most citedFrom Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances

1 citations · 2 across the 11 of their papers we have counts for

collaborators

17 papers

cs.HC20261 cited

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…

cs.LG2026

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…

cs.IR2026

Navigating Ideation Space: Decomposed Conceptual Representations for Positioning Scientific Ideas

Yuexi Shen, Minqian Liu, Dawei Zhou +1

Scientific discovery is a cumulative process and requires new ideas to be situated within an ever-expanding landscape of existing knowledge. An emerging and critical challenge is h…

cs.CL2026

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Barry Menglong Yao, Sha Li, Yunzhi Yao +4

Human beings primarily understand the world through concepts (e.g., dog), abstract mental representations that structure perception, reasoning, and learning. However, how large lan…

cs.CL2025

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions

Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng +7

Large Language Models (LLMs) are transforming scientific hypothesis generation and validation by enabling information synthesis, latent relationship discovery, and reasoning augmen…

cs.CL20251 cited

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

Minqian Liu, Zhiyang Xu, Xinyi Zhang +8

Recent advancements in Large Language Models (LLMs) have enabled them to approach human-level persuasion capabilities. However, such potential also raises concerns about the safety…