GUI-PRA: Process Reward Agent for GUI Tasks

arXiv:2509.23263 · cs.AI · Submitted 2025-09-27 · Read on arXiv

cs.AI

Submitted: 2025-09-27

Updated: 2026-08-30

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Success Rate — 13× in this paper
• Core — 12× in this paper · explained in 2 episodes
• Process Reward Model — 11× in this paper
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Large Language Model — 7× in this paper
• Grounding — 6× in this paper · explained in 3 episodes
• Process Reward Model (PRM) — 5× in this paper · explained in 3 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Graphical User Interface — 4× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Difficulty-Stratified Success Rate — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Process Reward Models (PRMs) — 2× in this paper · explained in 3 episodes
• Training-Free Framework — 2× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Adaptive Planning — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Aggregation Function — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Contextual Awareness — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• GUI-specific Process Reward Agent — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• HarmonyGuard: Toward Safety and Utility in Web Agents via Adaptive Policy Enhancement and Dual-Objective Optimization
• Evaluating the Robustness of Multimodal Agents Against Active Environmental Injection Attacks
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
• Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
• CogAgent: A Visual Language Model for GUI Agents
• OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
• Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation
• Aria: An Open Multimodal Native Mixture-of-Experts Model
• Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
• Deep Reinforcement Learning: An Overview
• Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
• InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
• InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
• OmniParser for Pure Vision Based GUI Agent
• Self-Refine: Iterative Refinement with Self-Feedback
• AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
• Reflexion: Language Agents with Verbal Reinforcement Learning
• OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

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