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Chengzhen Yu

4 papers

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papers

Publications (4)

cs.CL2026

Kimi K2.5: Visual Agentic Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +339

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…

cs.CV2026

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space

Mingchao Sun, Luyang Tang, Yu Liu +34

The paper introduces ABot-3DWorld 0, a multimodal system that converts text, images, or video into high‑fidelity, explorable 3D worlds using a compact spatial representation and pa…

#3d reconstruction#multimodal generation#panoramic video#spatial world modeling
cs.CV2026

Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning

Chengzhen Yu, Canran Xiao, Siyuan Ma +1

Vision-language alignment powers open-vocabulary recognition, retrieval, and LVLM grounding, yet natural captions are often underspecified, making similarity brittle and overly con…

cs.CL2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +398

We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…

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