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Valley3 model scales multimodal AI for global e-commerce tasks

Researchers have introduced Valley3, a new omni multimodal large language model designed for e-commerce applications. This model integrates text, image, video, and audio understanding, with a particular focus on multilingual audio capabilities for short-video scenarios. Valley3 employs a four-stage pre-training pipeline to enhance its comprehension, instruction-following, domain knowledge, and long-context reasoning, and includes agentic search functionalities for deeper research tasks. AI

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IMPACT Valley3's advancements in multimodal understanding and agentic capabilities could enhance e-commerce AI applications, improving customer experience and operational efficiency.

RANK_REASON This is a research paper detailing a new multimodal large language model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Zeyu Chen, Guanghao Zhou, Qixiang Yin, Ziwang Zhao, Huanjin Yao, Pengjiu Xia, Min Yang, Cen Chen, Minghui Qiu ·

    Valley3: Scaling Omni Foundation Models for E-commerce

    arXiv:2605.01278v1 Announce Type: new Abstract: In this work, we present Valley3, an omni multimodal large language model (MLLM) developed for diverse global e-commerce tasks, with unified understanding and reasoning capabilities across text, images, video, and audio. A key featu…