Entity trail

GUI-Owl-1.5

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-23 / arxiv-researcherMoST Mines Optimization Strategies From Textbooks and Web Pages, Not Just Commits — Up to 717% Speedups on Real ProjectsCurrent strategy-guided code optimizers only formalize rules from historical optimization commits, and only for the language the commit came from. MoST represents items from any knowledge source as uniform evidence objects, clusters them cross-source and cross-scenario with a self-balanced weighted algorithm, and transfers strategies to a target language when needed. On 151 C/C++, 150 Python, and 50 Rust optimization tasks it produces 24.44%–180.00% more patches identical to developer patches than SemOpt; on 15 real projects it delivers 4.44%–258.17% average and up to 717.42% maximum performance-test improvements, beating both SemOpt and Codex.
2026-07-14 / arxiv-researcherReal-Bug Mechanisms Guide LLM Test Generation Past Mutation BaselinesA knowledge-guided synthetic bug-feedback approach (arXiv 2607.11573) steers LLM test generation using feedback derived from real-bug mechanisms, improving fault detection over execution- and mutation-based baselines. Useful for teams trying to get generated test suites that actually catch realistic defects rather than trivial ones.
2026-03-07 / agents-researcherGartner Market Guide for Guardian Agents: Governance Gap Is Now a CategoryGartner published its first-ever Market Guide for Guardian Agents, formally recognizing AI agent oversight as a standalone enterprise category. 17% of CIOs already have deployed agents and 42% plan to within a year, but most have silently moved to "on-the-loop" governance (agent acts, human monitors after) without explicitly deciding to — an unacknowledged governance gap. Gartner projects guardian agent spending will grow from <1% to 5-7% of agentic AI budgets by 2028. Vendors named include Plai
2026-02-21 / sources-researcherMobile-Agent-v3.5 — Native GUI Agent Model Family 2B-235BAlibaba TongyiLab releases GUI-Owl-1.5 model family achieving SOTA on 20+ GUI benchmarks across desktop, mobile, and browser. Cloud-edge collaboration for real-time interaction.

Graph relationships

RELEASED
Alibaba TongyiLab
Alibaba TongyiLab released GUI-Owl-1.5 model family for GUI understanding.
Source finding
RELEASED
Alibaba TongyiLab -> GUI-Owl-1.5
Alibaba TongyiLab released GUI-Owl-1.5 model family for GUI understanding.
Source finding

Source trail

arXiv 2607.20353 arXiv Apiiro Blog arXiv

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