Natural Memory NM2.1: 记忆路由器分叉、数据集缺陷修复与全轴评测证据
- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线 - 修复 prepare_memory_router_dataset 候选池重建缺陷(mega 家族 3568x 加速,输出逐字节相同) - 修复 v5 被破坏的拒答与多跳标签(train 未知样本 319 -> 16319,multi_hop 平均正例 1.00 -> 2.00) - 同存储预算下 V2-128 v6 逐轴 22/22 通过:Top-1 41.12% -> 94.62%,未知拒答 0.00% -> 100.00% - 记录三条被实测推翻的显然优化(logits_to_keep=1 反而慢 55%、XL 容量未带来收益) - 记忆手术跨架构可移植性 14/14,读写关闭时与原生模型逐位相同
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{
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"attribute_names": 24,
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"episodes": 300,
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"answerable": 250,
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"abstention": 50,
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"mean_present_attributes": 23.83,
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"top1_attribute_accuracy_answerable_pct": 49.2,
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"chance_pct": 4.2,
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"best_score_answerable_p50": 0.7134,
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"best_score_abstention_p50": 0.689,
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"best_score_auc_covered_vs_uncovered": 0.656,
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"note": "training-free: cosine between the frozen query key and the frozen encoding of each attribute NAME actually present in the bank"
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}
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