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cs.CV2026

Anvil: Scaling Embodied Spatial Intelligence through Knowledge Recirculation

Weilin Ruan, Bohan Zhou, Jinghao Li +12

Embodied spatial intelligence requires more than visual recognition: models must localize entities, reason about their relations, and express this knowledge in action-relevant form…

cs.CV2026

RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes

Leyi Wu, Yifan Zhao, Jinjie Zhang +11

Vision-Language Models (VLMs) have shown strong visual understanding and are increasingly deployed in embodied AI systems, where reliable perception under real conditions is essent…

cs.CV2026

Find, Fix, Reason: Context Repair for Video Reasoning

Haojian Huang, Chuanyu Qin, Yinchuan Li +1

Reinforcement learning has advanced video reasoning in large multi-modal models, yet dominant pipelines either rely on on-policy self-exploration, which plateaus at the model's kno…

cs.CV2026

STAR: Mitigating Cascading Errors in Spatial Reasoning via Turn-point Alignment and Segment-level DPO

Pukun Zhao, Longxiang Wang, Chen Chen +4

Structured spatial navigation is a core benchmark for Large Language Models (LLMs) spatial reasoning. Existing paradigms like Visualization-of-Thought (VoT) are prone to cascading…

cs.CV2025

EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer

Pukun Zhao, Longxiang Wang, Miaowei Wang +3

Most existing spatial reasoning benchmarks focus on static or globally observable environments, failing to capture the challenges of long-horizon reasoning and memory utilization u…