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Author

Hanting Chen

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Preprint Aug 2026

Reading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression

Multi-step language-model agents repeatedly process growing interaction histories, leading to substantial context costs. Vision--text compression reduces these costs by rendering history as images, but the resulting modality shift creates a marked capability gap. Through controlled evaluations of history recovery, matc...

Cheng Fan, Junyi Zhou, Tingzhang Luo et al. · 1 citation
Preprint Aug 2026

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

CoVeMem (Collaborative Vector Memory) is proposed, which vectorizes the collaborative core of the agent's memory and takes gradients: the full interaction history, out of reach for text, becomes available as training data for what the agent remembers and for how it reads what it remembers.

Hanting Chen, Xing Tang, Ling-Jie Li et al. · 0 citations

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