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English(EN) GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

GLM-5V-Turbo模型集成多模态感知,赋能高级智能体能力

研究人员推出了GLM-5V-Turbo,这是一款专为多模态智能体设计的新型基础模型。该模型将多模态感知直接整合到其推理、规划和执行能力中,而不是将其视为次要接口。开发重点在于模型设计、多模态训练、强化学习和工具链扩展,在视觉工具使用和智能体任务方面表现强劲。 AI

影响 引入了一种新颖的多模态智能体设计方法,有望提高在复杂视觉和交互任务中的性能。

排序理由 该集群描述了一篇关于多模态基础模型的新研究论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

GLM-5V-Turbo模型集成多模态感知,赋能高级智能体能力

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · V Team, Wenyi Hong, Xiaotao Gu, Ziyang Pan, Zhen Yang, Yuting Wang, Yue Wang, Yuanchang Yue, Yu Wang, Yanling Wang, Yan Wang, Xijun Liu, Wenmeng Yu, Weihan Wang, Wei Li, Shuaiqi Duan, Sheng Yang, Ruiliang Lv, Mingdao Liu, Lihang Pan, Ke Ning, Junhui Ji, J ·

    GLM-5V-Turbo:迈向量体多模态基础模型的原生之路

    arXiv:2604.26752v1 Announce Type: new Abstract: We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on language reasoning, but also on the a…

  2. arXiv cs.CV TIER_1 English(EN) · Jie Tang ·

    GLM-5V-Turbo:迈向量体多模态基础模型

    We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on language reasoning, but also on the ability to perceive, interpret, and act over hete…