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20242026
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cs.CV2026

CoEvoWhen: Policy-Tool Coevolution for Ultra-Long Video Temporal Grounding

Yiduo Jia, Muzhi Zhu, Jinchuan Shi +4

Ultra-long video temporal grounding requires balancing long-range evidence search with fine-grained event understanding under a limited visual budget, yet existing agentic methods…

cs.CV2026

Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes

Yuling Xi, Haokai Zhang, Muzhi Zhu +10

Metric reasoning is a critical and challenging task for Vision Language Models (VLMs), playing a pivotal role in embodied AI tasks such as robotic manipulation and autonomous navig…

cs.CL2026

ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Prediction

Linhao Zhong, Zongze Du, Linyu Wu +6

Open-web future event prediction requires agents to distill reliable signals from noisy, redundant, and incomplete evidence. Existing retrieval/memory mechanisms directly feed retr…

cs.AI2026

Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence

Haokai Zhang, Yuhang Ding, Yunshu Zhou +5

Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLMs, existing work has…

cs.CL2026

Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration

Linhao Zhong, Linyu Wu, Wen Wang +5

Diffusion large language models (dLLMs) have recently attracted significant attention for their ability to enhance diversity, controllability, and parallelism. However, their non-s…