LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent
Bin Kang , Shaoguo Wen , Yifei Bi , Shunlong Wu , Xinbin Yuan , Rui Shao , Junle Wang , Zhuotao Tian
- 🏛 Institutions
- Chengdu Institute of Computer Applications , CAS , University of Chinese Academy of Sciences , Tencent Turing Lab , Georgia Tech , Tsinghua , Nankai University , Shenzhen Loop Area Institute
- 📅 Date
- January 26, 2026
- 📑 Publisher
- ICLR 2026 (Poster)
- 💻 Env
- General GUI
- 🔑 Keywords
TLDR
LongHorizonUI targets error accumulation in long-horizon GUI control by combining indexed multimodal perception, structured reflective decision-making, and rollback-based compensatory execution. It also introduces LongGUIBench for tasks longer than 15 steps across games and complex applications, and reports substantial gains on long-horizon evaluation while staying competitive on public benchmarks.
Related papers (24)
- CocoaBench: Evaluating Unified Digital Agents in the WildApril 13, 2026 · arXiv
- SheetCopilot: Bringing Software Productivity to the Next Level through Large Language ModelsMay 30, 2023 · NeurIPS 2023
- Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional FieldsJune 9, 2026 · arXiv
- MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent ResearchMay 25, 2026 · arXiv
- SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent BenchmarkingMay 24, 2026 · arXiv
- HealthAdminBench: Evaluating Computer-Use Agents on Healthcare Administration TasksApril 10, 2026 · arXiv
- ClawBench: Can AI Agents Complete Everyday Online Tasks?April 9, 2026 · arXiv
- Gym-Anything: Turn any Software into an Agent EnvironmentApril 7, 2026 · arXiv
- AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI AgentsMarch 19, 2026 · arXiv
- OS-Marathon: Benchmarking Computer-Use Agents on Long-Horizon Repetitive TasksJanuary 28, 2026 · arXiv
- MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World EnvironmentJanuary 28, 2026 · arXiv
- GUITester: Enabling GUI Agents for Exploratory Defect DiscoveryJanuary 8, 2026 · arXiv
- MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented EnvironmentsDecember 22, 2025 · arXiv
- GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI AgentMay 22, 2025 · ACL 2025
- LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration BenchmarkApril 18, 2025 · arXiv
- WorldGUI: An Interactive Benchmark for Desktop GUI Automation from Any Starting PointFebruary 12, 2025 · arXiv
- WebWalker: Benchmarking LLMs in Web TraversalJanuary 13, 2025 · arXiv
- The BrowserGym Ecosystem for Web Agent ResearchDecember 6, 2024 · TMLR
- AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?October 21, 2024 · EMNLP 2024 (Poster)
- You Only Look at Screens: Multimodal Chain-of-Action AgentsSeptember 20, 2023 · Findings of ACL 2024
- AutoDroid: LLM-powered Task Automation in AndroidAugust 29, 2023 · MobiCom 2024
- Grounding Open-Domain Instructions to Automate Web Support TasksMarch 30, 2021 · NAACL 2021
- MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI AgentsMay 18, 2026 · arXiv
- AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding BenchmarkApril 27, 2026 · arXiv