most citedMobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

13 citations · 26 across the 15 of their papers we have counts for

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cs.CL2025

QwenLong-CPRS: Towards -LLMs with Dynamic Context Optimization

Weizhou Shen, Chenliang Li, Fanqi Wan +12

This technical report presents QwenLong-CPRS, a context compression framework designed for explicit long-context optimization, addressing prohibitive computation overhead during th…

cs.CL2025

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Fanqi Wan, Weizhou Shen, Shengyi Liao +7

Recent large reasoning models (LRMs) have demonstrated strong reasoning capabilities through reinforcement learning (RL). These improvements have primarily been observed within the…

cs.CL2025

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…

cs.CL2025

Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization

Zhitao He, Zijun Liu, Peng Li +5

LLM-based agents have made significant advancements in interactive environments, such as mobile operations and web browsing, and other domains beyond computer using. Current multi-…

cs.CL20253 cited

Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks

Zhenhailong Wang, Haiyang Xu, Junyang Wang +5

Smartphones have become indispensable in modern life, yet navigating complex tasks on mobile devices often remains frustrating. Recent advancements in large multimodal model (LMM)-…

cs.CL2024

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

Chaoya Jiang, Jia Hongrui, Haiyang Xu +6

This paper presents MaVEn, an innovative Multi-granularity Visual Encoding framework designed to enhance the capabilities of Multimodal Large Language Models (MLLMs) in multi-image…