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Bangde Cao

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Preprint Aug 2026

MemPrism: Task-Conditioned Relational Memory Views for Long-Horizon Agents

Experiments on long-horizon embodied and web-agent benchmarks show that MemPrism consistently improves the task performance, especially as trajectories become longer, while reducing memory token consumption.

Zhi-Sheng Chen, Bingfan Zeng, Bangde Cao et al. · 0 citations

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