agent/papers/items/2026-2606-19930-mobileforge-annotation-free-adaptation-for-mobile-gui-agents-with-hierarchical-f.md

Paper: MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization

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type: paper title: "MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization" authors: Guangyi Liu, Pengxiang Zhao, Gao Wu, Yiwen Yin, Mading Li, Liang Liu, Congxiao Liu, Zhang Qi, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.19930 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-18 updated_at: 2026-06-18 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• tool-use methods:

benchmarks:

models:

datasets:

• cs.HC related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: web-gui-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: web-gui-agent
• inferred topics: agent-evaluation, computer-use, tool-use
• arXiv categories: cs.HC
• collection score: 14

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.19930