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
2026-09-19 11:11:31 +08:00
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+{
+  "attributes": 24,
+  "chance_pct": 4.17,
+  "train_queries": 1200,
+  "eval_queries": 300,
+  "distinct_train_queries": null,
+  "train_accuracy_pct": 83.42,
+  "eval_accuracy_pct": 83.33,
+  "eval_accuracy_answerable_pct": 100.0,
+  "note": "eval queries are different paraphrases of the same attributes, so this is generalisation to unseen wording",
+  "per_attribute": {
+    "主管姓名": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "入职年份": {
+      "eval_queries": 11,
+      "correct_pct": 100.0
+    },
+    "出生城市": {
+      "eval_queries": 9,
+      "correct_pct": 100.0
+    },
+    "办公城市": {
+      "eval_queries": 9,
+      "correct_pct": 100.0
+    },
+    "午餐偏好": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "咖啡口味": {
+      "eval_queries": 19,
+      "correct_pct": 100.0
+    },
+    "团队名称": {
+      "eval_queries": 10,
+      "correct_pct": 100.0
+    },
+    "客户名称": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "宿舍楼号": {
+      "eval_queries": 14,
+      "correct_pct": 100.0
+    },
+    "工位楼层": {
+      "eval_queries": 6,
+      "correct_pct": 100.0
+    },
+    "常住城市": {
+      "eval_queries": 13,
+      "correct_pct": 100.0
+    },
+    "常用编辑器": {
+      "eval_queries": 6,
+      "correct_pct": 100.0
+    },
+    "手机尾号": {
+      "eval_queries": 11,
+      "correct_pct": 100.0
+    },
+    "档案标识": {
+      "eval_queries": 16,
+      "correct_pct": 100.0
+    },
+    "紧急联系人姓氏": {
+      "eval_queries": 7,
+      "correct_pct": 100.0
+    },
+    "设备型号": {
+      "eval_queries": 7,
+      "correct_pct": 100.0
+    },
+    "课程名称": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "起床时间": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "运动习惯": {
+      "eval_queries": 6,
+      "correct_pct": 100.0
+    },
+    "通勤方式": {
+      "eval_queries": 8,
+      "correct_pct": 100.0
+    },
+    "邮箱域名": {
+      "eval_queries": 7,
+      "correct_pct": 100.0
+    },
+    "阅读工具": {
+      "eval_queries": 7,
+      "correct_pct": 100.0
+    },
+    "项目代号": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    },
+    "默认语言": {
+      "eval_queries": 12,
+      "correct_pct": 100.0
+    }
+  },
+  "coverage_rule": {
+    "rule": "predict the asked-about attribute; refuse when the candidate set lacks it",
+    "answerable_inside_pct": 100.0,
+    "unknown_inside_pct": 0.0,
+    "answerable_cases": 250,
+    "unknown_cases": 50,
+    "unknown_refusal_pct": 100.0,
+    "known_false_refusal_pct": 0.0,
+    "counts": {
+      "tp": 50,
+      "fn": 0,
+      "fp": 0,
+      "tn": 250
+    }
+  }
+}