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Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Foundation models · Jul 30, 2026 · 18 citations · 156 upvotes · unverified

Qwen-UI-Agent is a foundation GUI agent that integrates mobile, computer, web, and search environments with CLI execution, long-horizon online reinforcement learning, and autonomous data generation to achieve state-of-the-art real-world device performance.

By Hanzhang Zhou, Panrong Tong, Xu Zhang and 13 more · arXiv 2607.28227 · PDF

UnverifiedHugging Face's summary; not yet checked by hand.

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Foundation modelsOct 11, 2018BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingPre-training a Transformer to fill in masked words, then fine-tuning it, beat task-specific models across language understanding tests.

Google125k citations33 upvotesRead →Foundation modelsMay 28, 2020Language Models are Few-Shot LearnersGPT-3, a 175B-parameter model, does new tasks from a few examples in the prompt, with no fine-tuning.

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About this paper

Venue: arXiv.org
Citations: 18, 0 influential · Semantic Scholar
Upvotes: 156 · Hugging Face
Lab: Alibaba (Qwen) · on Companies · on Quarterly

Changes

CitationsNov 9, 2026Citations rose from 17 to 18.

CitationsNov 2, 2026Citations rose from 10 to 17.

CitationsOct 12, 2026Citations rose from 8 to 10.

CitationsOct 5, 2026Citations rose from 5 to 8.

CitationsSep 28, 2026Citations rose from 4 to 5.

CitationsSep 25, 2026A first count of 0 influential citations.

CitationsSep 25, 2026A first count of 4 citations.

New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.