Author

Jieke Wang

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Preprint Aug 2026

Dual-Grained Agent Memory and Shapley Context Attribution for Multimodal Agentic Learner

DG-Mem is proposed, a dual-grained agentic memory framework that augments a frozen MLLM with a non-parametric, externally stored memory built once from training-time rollouts and consulted read-only at test time, and improves consistently over no-memory and competitive memory baselines.

Jieke Wang, Tiancheng Shen, Yibo Yang et al. · 0 citations