当前检索器涵盖了所有证据吗？联合跨页面检索的对照研究
Do Current Retrievers Cover All the Evidence? A Controlled Study of Conjunctive Cross-Page Retrieval
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中文总结 AI 辅助
研究在联合文档检索中，找到与多部分请求相关的长文档并不等同于确定其包含所有请求的证据。以n-Clue为测量工具，通过70种配置实验，发现条件覆盖是核心瓶颈，如条件分解、融合等对结果有不同影响。
中文摘要 AI 辅助
找到与多部分请求相关的长文档并不等同于确定它包含每个请求的证据。我们针对联合文档检索研究了这一差距，在联合文档检索中，一个文档的不同页面必须支持两个或三个明确条件。我们使用n-Clue作为受控测量工具：对2021篇文档进行1000次查询，将所有条件的黄金标准与仅满足一个子集的自然出现的文档配对，并且完全优先成功要求前10个黄金标准先于每个发布的子集qrel。在70种配置中，按条件分解将两个密集主干提高了6.8 - 7.3分，词汇 - 视觉融合增加了8.7分，而四个通用重排器都降低了黄金标准NDCG；这些方向在四源压力集上重复。将一个密集族从0.6B扩展到8B，完全优先成功率变化为0.0分。显示的最强混合模型说明了由此产生的差距：它在81.1%的查询中找到了黄金标准，但仅在35.8%的查询中完全优先成功，并且该差距在条件数量、目标长度、候选密度、查询呈现和四源压力集中持续存在。最后，页面感知视觉系统仅在5.1 - 5.3%的查询中为每个条件提供存储的支持。这些结果表明，条件覆盖而非仅黄金标准发现是核心瓶颈。
英文摘要
Finding a long document relevant to a multi-part request is not the same as establishing that it contains every requested piece of evidence. We study this gap for conjunctive document retrieval, where two or three explicit conditions must be supported on different pages of one document. We use n-Clue as a controlled measurement instrument: 1{,}000 queries over 2{,}021 documents pair all-condition golds with naturally occurring documents that satisfy only a subset, and a complete-first success requires a top-10 gold to precede every released subset qrel. Across 70 configurations, condition-wise decomposition improves two dense backbones by 6.8--7.3 points and lexical--visual fusion adds 8.7, while four generic rerankers all reduce Gold-NDCG; these directions replicate on a four-source stress set. Scaling one dense family from 0.6B to 8B changes complete-first success by 0.0 points. The strongest displayed hybrid illustrates the resulting gap: it finds a gold for 81.1\% of queries but succeeds complete-first on only 35.8\%, and the gap persists across condition count, target length, candidate density, query rendering, and the four-source stress set. Finally, page-aware visual systems surface stored support for every condition on only 5.1--5.3\% of queries. These results identify condition coverage, rather than gold discovery alone, as the central bottleneck.
