Image de couverture de livre

MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Guangyi, Zhao, Pengxiang, Liang, Yaozhen, Luo, Qinyi, Tang, Shunye, Chai, Yuxiang, Lin, Weifeng, Xiao, Han, Wang, WenHao, Chen, Siheng, Lu, Zhengxi, Wu, Gao, Wang, Hao, Liu, Liang, Liu, Yong
Format:	Preprint
Publié:	2026
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
par: Zhao, Pengxiang, et autres
Publié: (2025)

LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects
par: Liu, Guangyi, et autres
Publié: (2025)

MemFine: Memory-Aware Fine-Grained Scheduling for MoE Training
par: Zhao, Lu, et autres
Publié: (2025)

Automatic BLAS Offloading on Unified Memory Architecture: A Study on NVIDIA Grace-Hopper
par: Li, Junjie, et autres
Publié: (2024)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
par: Hu, Cunchen, et autres
Publié: (2024)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
par: Ye, Rui, et autres
Publié: (2024)

FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations
par: Shu, Zhihao, et autres
Publié: (2026)

LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
par: Liu, Guangyi, et autres
Publié: (2025)

Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices
par: Chen, Xiaopei, et autres
Publié: (2025)

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
par: Liaw, Yong-Cheng, et autres
Publié: (2025)

PIRA-Bench: A Transition from Reactive GUI Agents to GUI-based Proactive Intent Recommendation Agents
par: Chai, Yuxiang, et autres
Publié: (2026)

Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information
par: Wang, Juncheng, et autres
Publié: (2025)

FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
par: Chen, Silin, et autres
Publié: (2025)

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
par: Guo, Cong, et autres
Publié: (2024)

ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
par: Schirmer, Trever, et autres
Publié: (2024)

Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions
par: Liu, Guangyuan, et autres
Publié: (2026)

TIMBER: On supporting data pipelines in Mobile Cloud Environments
par: Tomaras, Dimitrios, et autres
Publié: (2024)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving
par: Xu, Jiale, et autres
Publié: (2025)

FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing
par: Wu, Hao, et autres
Publié: (2024)

Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired
par: Raj, Suman, et autres
Publié: (2025)

Computational Power of Mobile Robots in Synchronous Environment: Discrete Version
par: Sharma, Avisek, et autres
Publié: (2024)

SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines
par: Xue, Weicheng, et autres
Publié: (2025)

ESTA: An Efficient Spatial-Temporal Range Aggregation Query Processing Algorithm for UAV Networks
par: Liu, Liang, et autres
Publié: (2023)

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
par: Zhai, Wenbin, et autres
Publié: (2023)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity
par: Zhang, Chen, et autres
Publié: (2025)

DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version]
par: Lu, Baotong, et autres
Publié: (2024)

Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
par: Jiang, Hao, et autres
Publié: (2025)

TailBench++: Flexible Multi-Client, Multi-Server Benchmarking for Latency-Critical Workloads
par: Li, Zhilin, et autres
Publié: (2025)

Distributed Massive MIMO-Aided Task Offloading in Satellite-Terrestrial Integrated Multi-Tier VEC Networks
par: Liu, Yixin, et autres
Publié: (2024)

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
par: Zhang, Jianqing, et autres
Publié: (2023)

Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist
par: Luo, Yicong, et autres
Publié: (2025)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
par: Liang, Yipeng, et autres
Publié: (2025)

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile
par: Niu, Wei, et autres
Publié: (2024)

Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
par: Liang, Yipeng, et autres
Publié: (2024)

A3: Android Agent Arena for Mobile GUI Agents with Essential-State Procedural Evaluation
par: Chai, Yuxiang, et autres
Publié: (2025)

PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile Devices
par: Liu, Kaiwei, et autres
Publié: (2025)

Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization
par: Cai, Zhijie, et autres
Publié: (2026)

Enhancing Memory Efficiency in Large Language Model Training Through Chronos-aware Pipeline Parallelism
par: Lin, Xinyuan, et autres
Publié: (2025)

PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
par: Agnihotri, Pratyush, et autres
Publié: (2025)

SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
par: Kulkarni, Apurv Deepak, et autres
Publié: (2025)