episodic-visual-memory-dbaad548·1 events·first seen Aliases: Episodic Visual Memory
Researchers propose a Cognitive-structured Multimodal Agent (CMA) that externalizes visual context into an Episodic Visual Memory to avoid token explosion in long multimodal dialogues. The architecture includes a Perceptual Abstraction Engine, Cognitive Retrieval Engine, and Multimodal Executive Controller, trained with reinforcement learning on a synthetically generated multi-turn dataset. An 8B parameter agent achieves 91.4% retrieval accuracy over 20-turn sessions, outperforming 32B baselines by 8.2% while nearly halving inference time. The authors also release CMA-Harness, a tool-augmented deployment integrating persistent memory, web access, and image generation tools with OpenAI-compatible serving.