SOURCE-LINKED INTELLIGENCE
MM-ContextFold: Context Folding for Multimodal Agentic Retrieval
Multimodal Agentic Retrieval (MAR) requires agents to solve complex information-seeking tasks by iteratively invoking external tools. Typical frameworks such as ReAct maintain raw multimodal inputs and the accumulating interaction history in a single, ever-growing context, leading to the context explosion problem. While existing methods alleviate this issue by compressing redundant text, effective strategies for managing token-intensive visual content remain largely underexplored. To address this gap, we first conduct a systematic empirical study of approximately 10,000 trajectories. The resul
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T16:45:21.000Z
First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.