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cs.CV2026

Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE

Yangming Shi, Shixiang Zhu, Tao Shen +14

We present Mamoda2.5, a unified AR-Diffusion framework that seamlessly integrates multimodal understanding and generation within a single architecture. To efficiently enhance the m…

cs.CV2026

Implicit Geometry Representations for Vision-and-Language Navigation from Web Videos

Mingfei Han, Haihong Hao, Liang Ma +6

Vision-and-Language Navigation (VLN) has long been constrained by the limited diversity and scalability of simulator-curated datasets, which fail to capture the complexity of real-…

cs.RO2026

ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation

Yu Sun, Meng Cao, Yang Ping +24

Vision-Language-Action (VLA) models and world-action models have emerged as central paradigms for general-purpose robotic intelligence, yet their empirical progress remains constra…

cs.CV2026

World2Act: Latent Action Post-Training from World Model Dynamics

An Dinh Vuong, Tuan Van Vo, Abdullah Sohail +6

World Models (WMs) offer a promising mechanism for post-training Vision-Language-Action (VLA) policies by providing dynamics priors that improve generalization under task and scene…

cs.RO2026

Foundation and Small Models Coordination for Visuomotor Policy Learning

Haoran Ding, Liang Ma, Yaxun Yang +7

Visuomotor policy learning enables robots to perform a wide range of tasks, but small policy models often remain sensitive to changes in object and background appearance. In this w…