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cs.CV2026

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory

Zile Wang, Zexiang Liu, Jiaxing Li +20

With the advancement of interactive video generation, diffusion models have increasingly demonstrated their potential as world models. However, existing approaches still struggle t…

cs.CV2025

Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch

Yifan Zhang, Liang Hu, Haofeng Sun +12

Despite recent progress in multimodal agentic systems, existing approaches often treat image manipulation and web search as disjoint capabilities, rely heavily on costly reinforcem…

cs.CV2025

CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs

Ai Jian, Weijie Qiu, Xiaokun Wang +6

Vision-Language Models (VLMs) have demonstrated remarkable progress in multimodal understanding, yet their capabilities for scientific reasoning remain inadequately assessed. Curre…

cs.CV2025

Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning

Xiaokun Wang, Peiyu Wang, Jiangbo Pei +9

We propose Skywork-VL Reward, a multimodal reward model that provides reward signals for both multimodal understanding and reasoning tasks. Our technical approach comprises two key…

cs.CV2025

Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Yi Peng, Peiyu Wang, Xiaokun Wang +12

We introduce Skywork R1V, a multimodal reasoning model extending the an R1-series Large language models (LLM) to visual modalities via an efficient multimodal transfer method. Leve…

cs.CV2025

Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning

Peiyu Wang, Yichen Wei, Yi Peng +10

We present Skywork R1V2, a next-generation multimodal reasoning model and a major leap forward from its predecessor, Skywork R1V. At its core, R1V2 introduces a hybrid reinforcemen…