most citedReInAgent: A Context-Aware GUI Agent Enabling Human-in-the-Loop Mobile Task Navigation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

10 papers

cs.AI2025

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji +56

As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…

cs.AI2025

Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms

Yuhang Wang, Yanxu Zhu, Jitao Sang

The advanced reasoning capabilities of Large Reasoning Models enable them to thoroughly understand and apply safety policies through deliberate thought processes, thereby improving…

cs.AI2025

Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI

Jitao Sang, Jinlin Xiao, Jiarun Han +5

The rapid evolution of agentic AI marks a new phase in artificial intelligence, where Large Language Models (LLMs) no longer merely respond but act, reason, and adapt. This survey…

cs.AI20251 cited

ReInAgent: A Context-Aware GUI Agent Enabling Human-in-the-Loop Mobile Task Navigation

Haitao Jia, Ming He, Zimo Yin +3

Mobile GUI agents exhibit substantial potential to facilitate and automate the execution of user tasks on mobile phones. However, exist mobile GUI agents predominantly privilege au…

cs.AI2025

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions

Yanxu Zhu, Shitong Duan, Xiangxu Zhang +7

Recently Multimodal Large Language Models (MLLMs) have achieved considerable advancements in vision-language tasks, yet produce potentially harmful or untrustworthy content. Despit…

cs.AI2025

Mobile-Agent-V: A Video-Guided Approach for Effortless and Efficient Operational Knowledge Injection in Mobile Automation

Junyang Wang, Haiyang Xu, Xi Zhang +4

The exponential rise in mobile device usage necessitates streamlined automation for effective task management, yet many AI frameworks fall short due to inadequate operational exper…