activity
20232026
most citedQwen2.5-VL Technical Report

82 citations · 85 across the 16 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

STAMP: Training Explicit Memory for Mobile GUI Agents in Controllable and Scalable Virtual Environments

Junyang Wang, Haiyang Xu, Xi Zhang +4

Mobile GUI agents excel at immediate reactive control but frequently fail in realistic, long-horizon tasks that require memory. This failure stems from a fundamental conflict betwe…

cs.CL2025

Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models

Yusheng Song, Lirong Qiu, Xi Zhang +1

The detection of sophisticated hallucinations in Large Language Models (LLMs) is hampered by a ``Detection Dilemma'': methods probing internal states (Internal State Probing) excel…

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.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

Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Junyang Wang, Haiyang Xu, Haitao Jia +6

Mobile device operation tasks are increasingly becoming a popular multi-modal AI application scenario. Current Multi-modal Large Language Models (MLLMs), constrained by their train…