activity
20232026
most citedFrom Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models

4 citations · 9 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

Chendong Xiang, Jiajun Liu, Jintao Zhang +7

Predictive world models that simulate future observations under explicit camera control are fundamental to interactive AI. Despite rapid advances, current systems lack spatial pers…

cs.CR2025

Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents

Renhua Ding, Xiao Yang, Zhengwei Fang +3

Large Vision-Language Models (LVLMs) empower autonomous mobile agents, yet their security under realistic mobile deployment constraints remains underexplored. While agents are vuln…

cs.CL2025

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation

Yichi Zhang, Yao Huang, Yifan Wang +10

The trustworthiness of Multimodal Large Language Models (MLLMs) remains an intense concern despite the significant progress in their capabilities. Existing evaluation and mitigatio…

cs.AI2025

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments

Xiao Yang, Jiawei Chen, Jun Luo +4

The emergence of multimodal LLM-based agents (MLAs) has transformed interaction paradigms by seamlessly integrating vision, language, action and dynamic environments, enabling unpr…

cs.LG2025

Exploring the Secondary Risks of Large Language Models

Jiawei Chen, Zhengwei Fang, Yu Tian +4

Ensuring the safety and alignment of Large Language Models is a significant challenge with their growing integration into critical applications and societal functions. While prior…

cs.CL2025★ 1 cited

STAIR: Improving Safety Alignment with Introspective Reasoning

Yichi Zhang, Siyuan Zhang, Yao Huang +7

Ensuring the safety and harmlessness of Large Language Models (LLMs) has become equally critical as their performance in applications. However, existing safety alignment methods ty…