Cover Image

UFO2: The Desktop AgentOS

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chaoyun, Huang, He, Ni, Chiming, Mu, Jian, Qin, Si, He, Shilin, Wang, Lu, Yang, Fangkai, Zhao, Pu, Du, Chao, Li, Liqun, Kang, Yu, Jiang, Zhao, Zheng, Suzhen, Wang, Rujia, Qian, Jiaxu, Ma, Minghua, Lou, Jian-Guang, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Human-Computer Interaction Operating Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UFO3: Weaving the Digital Agent Galaxy
by: Zhang, Chaoyun, et al.
Published: (2025)

UFO: A UI-Focused Agent for Windows OS Interaction
by: Zhang, Chaoyun, et al.
Published: (2024)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)

Large Action Models: From Inception to Implementation
by: Wang, Lu, et al.
Published: (2024)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
by: Liu, Jun, et al.
Published: (2024)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

TaskWeaver: A Code-First Agent Framework
by: Qiao, Bo, et al.
Published: (2023)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
by: Zheng, Jiani, et al.
Published: (2025)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
by: Chen, Yue, et al.
Published: (2025)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

GUI-360$^\circ$: A Comprehensive Dataset and Benchmark for Computer-Using Agents
by: Mu, Jian, et al.
Published: (2025)

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
by: Mao, Jiayi, et al.
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback
by: Wang, Hanyang, et al.
Published: (2025)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
by: Ding, Ruomeng, et al.
Published: (2023)

An Empirical Study of Production Incidents in Generative AI Cloud Services
by: Yan, Haoran, et al.
Published: (2025)

Sharingan: Extract User Action Sequence from Desktop Recordings
by: Chen, Yanting, et al.
Published: (2024)

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
by: Peng, Zhiyuan, et al.
Published: (2026)

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
by: An, Kaikai, et al.
Published: (2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
by: Feng, Huawen, et al.
Published: (2024)

Beyond State Consistency: Behavior Consistency in Text-Based World Models
by: Huang, Youling, et al.
Published: (2026)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
by: An, Kaikai, et al.
Published: (2024)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
by: Zhu, Runchuan, et al.
Published: (2025)

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
by: Xie, Yuhang, et al.
Published: (2025)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
by: Liao, Mengqi, et al.
Published: (2026)

Computer-Using World Model
by: Guan, Yiming, et al.
Published: (2026)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
by: Cheng, Sitao, et al.
Published: (2024)

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
by: Zhang, Zhiyang, et al.
Published: (2024)

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
by: Zhang, Chaoyun, et al.
Published: (2024)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
by: Zhang, Xuchao, et al.
Published: (2024)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
by: Lu, Junting, et al.
Published: (2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)

G-KV: Decoding-Time KV Cache Eviction with Global Attention
by: Liao, Mengqi, et al.
Published: (2025)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
by: Tan, Rongyuan, et al.
Published: (2026)

Can Language Models Go Beyond Coding? Assessing the Capability of Language Models to Build Real-World Systems
by: Zhao, Chenyu, et al.
Published: (2025)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction
by: Li, Haozhe, et al.
Published: (2024)