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Sophisticated agent memory eviction heuristics barely protect against permanent forgetting, with strict token budgets driving irreversible data loss to 100% regardless of whether LLM-importance pruning or naive FIFO is used.
MedUAG sets a new standard in medical multimodal models, achieving strong performance across diverse understanding and generation tasks with the largest dataset yet.
OPSD can backfire, leading to rote memorization instead of enhancing reasoning, but a novel decomposition approach reveals a path to meaningful improvements.
