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明略科技 Mano Technical Report

2025-09-18

Graphical user interfaces (GUIs) are the primary medium for human-computer interaction, yet automating GUI interactions remains challenging due to the complexity of visual elements, dynamic environments, and the need for multi-step reasoning. Existing methods based on vision-language models (VLMs) often suffer from limited resolution, domain mismatch, and insufficient sequential decisionmaking capability. To address these issues, we propose Mano, a robust GUI agent built upon a multi-modal foundation model pre-trained on extensive web and computer system data. Our approach integrates a novel simulated environment for high-fidelity data generation, a three-stage training pipeline (supervised fine-tuning, offline reinforcement learning, and online reinforcement learning), and a verification module for error recovery. Mano demonstrates state-of-the-art performance on multiple GUI benchmarks, including Mind2Web and OSWorld, achieving significant improvements in success rate and operational accuracy. Our work provides new insights into the effective integration of reinforcement learning with VLMs for practical GUI agent deployment, highlighting the importance of domain-specific data, iterative training, and holistic reward design.

邀請(qǐng)函丨明略科技邀您共赴GDMS全球數(shù)字營(yíng)銷峰會(huì)，探索Agentic Marketing增長(zhǎng)新范式

2025-09-13

來(lái)。 明略科技旗下秒針系統(tǒng)受邀參會(huì)，將于「AI實(shí)踐」分論壇中發(fā)表主旨演講，從垂直視角剖析品牌差異化實(shí)踐，抽絲剝繭呈現(xiàn)增長(zhǎng)之道。 誠(chéng)邀您蒞臨交流，共話營(yíng)銷新可能！

明略科技CEO吳明輝即將出席2025騰訊全球數(shù)字生態(tài)大會(huì)

2025-09-13

全球大模型技術(shù)加速演進(jìn)，行業(yè)應(yīng)用逐步走向縱深。面對(duì)通用大模型在專有數(shù)據(jù)、行業(yè)know how等方面的局限性，垂類大模型正成為企業(yè)AI落地的破局關(guān)鍵。 9月16日下午，明略科技CEO吳明輝將亮相騰訊全球數(shù)字生態(tài)大會(huì)“互聯(lián)網(wǎng)AI應(yīng)用專場(chǎng)”，并發(fā)表主題演講《多模態(tài)大模型在營(yíng)銷場(chǎng)景的落地實(shí)踐》，分享明略科技最新技術(shù)突破與實(shí)戰(zhàn)成果。 歡迎掃碼預(yù)約直播，共探垂類大模型新未來(lái)。