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开发阶段案例 · 模型盲评尚待独立人工复核，不代表正式 Benchmark 结论。
自动补全Evidence 更优91 / 162 · e63057eb341f2997

Quantum Computational Complexity -- From Quantum Information to Black Holes and Back

天体物理学 · 2110.14672v1

FLOWING EVIDENCE BENCHMARK

怎么判断 Evidence 真的有帮助？

核心问题是：在同一写作位置、使用同一模型和任务时，提供检索文献片段会怎样改变首次输出？我们成对比较两种条件，保留持平、不可用和评审未完成的结果。

同一段原稿 · 比较是否提供 Evidence

01 · 固定写作位置

论文原稿

同一处写作点位 ▌

同一原稿位置的自动补全成对比较

02 · 构造两组输入

两组共用

原稿上下文、模型、任务和提示词

A · 提供 Evidence

额外提供检索文献片段

B · 不提供 Evidence

不提供检索文献片段

LLM

同一模型、同一版本

A → 首次输出

B → 首次输出

盲评 Agent

匿名标记两份首次输出为 X、Y

按续写质量判断：准确性、任务贴合度和可用性
输出：X 更优 / 持平 / Y 更优 / 两组均不可用

换序复评：X / Y → Y / X

盲评具体怎么判？

① 匿名两份输出
评审看到同一原稿和两份首次输出，但不知道哪份用了 Evidence。

② 比较并换序复评
根据当前任务的标准，按 X/Y、再按 Y/X 的顺序各评一次。

③ 复核分歧
两次结论不一致时再做第三次判定；未完成的评审也留在分母。

自动补全点位怎样分层？

在查看生成结果前，先核查检索片段是否含有能直接支撑下一步续写的具体命题；有则放在左侧机会组，否则放在右侧普通组。每个学科从可准入论文中均衡选取两组点位。50/50 是实验设计，不代表真实写作中两类点位各占一半。

AUTOCOMPLETE · 110

定量生物学、统计学、天体物理学

左侧 55 个、右侧 55 个点位；统计学采用 10 篇论文的复测结果。

AUTOCOMPLETE · 52

心理学与气候科学

左侧 26 个、右侧 26 个点位；心理学计入 9 篇，气候科学计入 4 篇。

表格里的百分比怎么算？

五学科共有 81 个左侧点位。原始盲评有 51 个 Evidence 胜出；任务校验将其中一条空白续写改归“两组均不可用”，因此公开统计为 50 个。普通组另有一条双方空白，已从“未分出胜负”改归“两组均不可用”。这些原始判定仍可在案例页查看。

50Evidence 版本更优
÷
81该层全部点位
=
62%该层 Evidence 获评更优的比例

来源贡献是另一项复核：已进入复核的 21 个 Evidence 获胜点位中，16 个确认直接使用了检索论文；另有 29 个胜出点位尚待复核。

当前是开发阶段的模型评审结果，尚未完成独立人工复核；这些数字不代表正式 Benchmark 结论，也不能单独证明因果关系。

原稿写作位置

原文摘录 · 非 PDF 页面

研究论文 · 原文片段

Quantum Computational Complexity -- From Quantum Information to Black Holes and Back

9 Summary and Outlook

…lained, the computations are manageable only when one can exploit a symmetry of the system; for this reason it seems promising to consider CFTs, but for the moment it is not known how to compute the relative complexity of two states that do not belong to the same conformal family. As we have seen, in free theories the complexity can be found in terms of the spectrum of the theory. Presumably in a CFT there will be some dependence on the OPE coefficients as well. It would be interesting to understand this dependence, and to determine whether some part of complexity has universality properties.

…ry. As we have seen in the single qubit case, but is true more generally, their effect is to create negative sectional curvature, which in turn is associated to diverging geodesics and chaotic behavior (notice however that in the case of coherent states we found a section with the geometry of hyperbolic space even without any penalty factors). It is therefore important to try and understand how the complexity in QFT is affected by penalty factors (see [ 141 , 142 ] for some work in this direction). This would also help in understanding better the relation between complexity and chaos [ 32 ] .

↓ 此处生成下一段续写

黄色标出写作点位附近的原文；本页根据评测输入重排文本，不是原始 PDF 截图。

同一写作位置的成对对照盲评结果：Evidence 更优

两组使用同一模型、同一写作任务和原稿上下文，仅比较是否提供检索文献片段。下方展示评测记录中的首次输出。

Evidence

同一模型与写作位置 · 提供检索文献片段 · 首次输出

盲评更优

A related open question concerns the geometry of the complexity metric itself: while uniform penalty factors yield a positively curved metric whose geodesic flow is not ergodic, non-uniform penalty factors can render some sectional curvatures negative, though not all of them.

提供给 Evidence 版本的文献片段

On the geometry of quantum complexity ↗

Another desirable property of complexity metric is the ergodicity of geodesics, which is important to apply thermodynamical arguments to complexity evolution [ 47 , 48 , 49 ] . Ergodicity in this context refers to the general idea that the trajectory of a generic state along a geodesic will eventual…

展开完整文献摘录

Another desirable property of complexity metric is the ergodicity of geodesics, which is important to apply thermodynamical arguments to complexity evolution [ 47 , 48 , 49 ] . Ergodicity in this context refers to the general idea that the trajectory of a generic state along a geodesic will eventually visit all the allowed portions of the unitary space. There are classical mathematical results (see e.g. [ 51 ] ) showing that the geodesic flow on a manifold with all negative sectional curvatures is ergodic. The complexity metric with uniform penalty factors is positively curved in all the directions and does not have an ergodic geodesic flow. The introduction of non-uniform penalty factors can make some of the sectional curvatures negative [ 5 ] , but not all of them.

无 Evidence

同一模型与写作位置 · 不提供检索文献片段 · 首次输出

本次未获偏好

产品最终没有可插入的续写正文。

模型原始响应明确返回“无需补全”。

评审结论与任务校验

模型盲评判定“Evidence 更优”。下方保留评审原始理由（英文），供核对判断依据。

查看模型评审原始理由（英文）

原始理由中的 Output A = 无 Evidence，Output B = Evidence。

Output A is empty and provides no completion, which violates the task requirement to continue the manuscript with one coherent academic paragraph. Output B provides a grounded continuation that connects to the draft's discussion of penalty factors and negative sectional curvature. The B output is directly supported by the source snippet, which states that 'The complexity metric with uniform penalty factors is positively curved in all the directions and does not have an ergodic geodesic flow. The introduction of non-uniform penalty factors can make some of the sectional curvatures negative, but not all of them.' B preserves the factual content (positive curvature with uniform penalties, partial negative curvature with non-uniform penalties, non-ergodic flow) without adding unsupported claims. The B output also coherently bridges from the draft's preceding discussion of penalty factors creating negative curvature and chaos to the source's discussion of ergodicity, making it a natural continuation.

来源复核确认：这段续写直接采用了检索论文中可验证的具体信息。

文献片段是输入材料；出现于此不代表输出使用了它，也不代表它能够支持全部主张。原文与检索片段经过截取；页面没有展示模拟分数或模拟 PDF。