35 lines
1.0 KiB
Markdown
35 lines
1.0 KiB
Markdown
---
|
||
title: "Multi-Solution Recovery(多解恢复)"
|
||
created: 2026-05-23
|
||
updated: 2026-05-23
|
||
type: concept
|
||
tags: [reasoning, multi-solution, constraint-satisfaction]
|
||
sources: [raw/papers/gram-generative-recursive-reasoning-2026.md]
|
||
confidence: medium
|
||
---
|
||
|
||
# Multi-Solution Recovery
|
||
|
||
> 给定一个约束满足问题,能够恢复**所有**(而非仅一个)有效解的能力。这是 GRAM 确定性 -> 随机性转变的核心收益之一。
|
||
|
||
## 传统 RRM 的局限
|
||
|
||
确定性的 [[recursive-reasoning-models|RRM]] 在约束满足问题上只能返回**一个解**——它们收敛到单一预测,无法表达解集的不确定性。
|
||
|
||
## GRAM 的多解恢复
|
||
|
||
- 从 [[stochastic-latent-trajectory]] 分布中采样 K 条轨迹
|
||
- 不同轨迹自然收敛到不同有效解
|
||
- 覆盖率随 K 增长
|
||
|
||
## 评测任务
|
||
|
||
- N-Queens:8 皇后问题有 92 个解
|
||
- Graph Coloring:多种有效着色方案
|
||
|
||
## 相关概念
|
||
|
||
- [[multi-trajectory-inference]]
|
||
- [[inference-time-scaling]]
|
||
- [[gram-generative-recursive-reasoning-paper|GRAM 论文]]
|