collaborators

14 papers

cs.CR2026

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions

Junjie Xiong, Zhengyuan Jiang, Xiaoran Xu +7

Large Language Models (LLMs) have emerged as powerful tools that impact information integrity on social media platforms. This comprehensive review examines the dual role of LLMs in…

cs.HC2026

ChatMuse: Supporting In-Person Small-Group Conversation Experience with a Proactive Assistive AI Agent in Mixed Reality

Shaoze Zhou, Joaquin Frangi, Diana Nelly Rivera Rodriguez +6

In-person small-group conversations occur across nearly every aspect of daily life and play a crucial role in social interaction. However, achieving effective in-person group conve…

cs.CR2026

COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers

Junyu Wang, Changjia Zhu, Yuanbo Zhou +4

This paper studies how multimodal large language models (MLLMs) undermine the security guarantees of visual CAPTCHA. We identify the attack surface where an adversary can cheaply a…

cs.CL2026

LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers

Lingyao Li, Junjie Xiong, Changjia Zhu +5

Large language models (LLMs) are increasingly used in academic peer review, yet their reliability, alignment with human judgment, and robustness to adversarial attacks remain poorl…

cs.CY2026

LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment

Lingyao Li, Deyi Li, Chen Chen +9

Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical…

cs.HC2026

Exploring Needs and Design Opportunities for Proactive Information Support in In-Person Small-Group Conversations

Shaoze Zhou, Diana Nelly Rivera Rodriguez, Pedro Remior +6

In-person small-group conversations play a crucial role in everyday life; however, facilitating effective group interaction can be challenging, as the real-time nature demands full…