Author

Rui-Ze Xu

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#artificial intelligence Jun 2026

DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection

Inspired by dual-coding theory, this work proposes a memory architecture that uses parallel visual and verbal codes, which it calls DualMem, and views this as a step towards memory systems that preserve a richer record of agents'observations.

Yu-Jin Tang, Chenming Shang, Rui-Ze Xu et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account

The findings suggest world knowledge and task-directed ability can be learned in geometrically complementary forms, and that future post-training pipelines should consider how best to engineer the interface between them.

Rui-Ze Xu, Xiao Yu, Yu-Jin Tang et al. · 0 citations