agent/papers/items/2026-2605-27134-scaling-benchmarking-and-reasoning-of-vision-language-agents-for-mobile-gui-navi.md

Paper: Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation

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type: paper title: Scaling, Benchmarking, and Reasoning of Vision-Language Agents for Mobile GUI Navigation authors: Heng Qu, Yike Liu, Renren Jin, Wenzong Zhang, Pengzhi Gao, Wei Liu, Jian Luan year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.27134 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-26 updated_at: 2026-05-26 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• embodied-agent
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 20 collection_queries: language-agent

One-line Takeaway

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

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, computer-use, embodied-agent, rag, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 20

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/2605.27134