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MOSS-VL open vision-language model family enables real-time interaction

By PulseAugur Editorial · [2 sources] ·

The MOSS-VL model family has been introduced as an open vision-language model designed for real-time interaction. It achieves this by incorporating gated cross-attention, allowing the model to process visual information while generating text. The models are trained using a synthesized interaction corpus and a staged curriculum, focusing on proactive behavior and reducing time-to-first-token latency. MOSS-VL-Realtime demonstrates strong performance on streaming benchmarks, outperforming other open-source models in proactive behavior tests and showing a significant time-to-first-token advantage over comparable models like Qwen3 VL 8B. AI

IMPACT This release provides a new open-source option for real-time vision-language tasks, potentially accelerating research and development in interactive AI systems.

RANK_REASON The cluster describes the release of a new open-source vision-language model family with technical details and performance benchmarks, published on Hugging Face and arXiv.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

MOSS-VL open vision-language model family enables real-time interaction

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The cluster describes the release of a new open-source vision-language model family with technical details and performance benchmarks, published on Hugging Face and arXiv.
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2 independent sources
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model release, paper
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    MOSS-VL Technical Report

    MOSS-VL is an open vision-language model family enabling real-time interaction by attending to vision via gated cross-attention during generation, using a synthesized interaction corpus and staged curriculum to achieve strong streaming performance with reduced time-to-first-token…

  2. arXiv cs.CV TIER_1 English(EN) · Pengyu Wang, Chenkun Tan, Shaojun Zhou, Qirui Zhou, Yanxin Chen, Xingyang He, Huazheng Zeng, Jijun Cheng, Chenghao Wang, Xiaomeng Qian, Pengfei Wang, Zhan Huang, Shanqing Gao, Wei Huang, Longjun Cao, Wu Ran, Jie Liu, Changtai Zhu, Hongkai Wang, Yixian Ti… ·

    MOSS-VL Technical Report

    arXiv:2608.15045v1 Announce Type: new Abstract: We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it speaks -- as a first-class capability. It is co-designed across the stack: the language decoder attends to vision only…

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