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论文提出 CAMR(兼容性感知记忆回放)框架,通过兼容性检查与学习到的记忆门控联合决定当前样本的监督与历史样本回放策略,在 Qwen3-8B-Base 上实现了持续事实更新与跨任务学习的更优稳定性和保持能力。
SHARP introduces a bio-inspired framework that separates memory accumulation from pattern recognition, using accelerated replay during offline sleep phases to learn long-range non-stationary temporal patterns in streaming settings. It improves context retention on text8 and PG-19 while maintaining computational efficiency.