发表机构
Kennesaw State University（肯尼索州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究在文档、音频和视频RAG中对比仅查询与查询+检索路由器，发现检索信号未带来可靠的路由改进，强调其增量价值需通过匹配对照实验验证。
AI 中文摘要
自适应RAG常利用检索时信号来决定是否应执行另一次检索、重排序或多模态步骤。我们探究的问题是：在查询本身已知的情况下，这些信号是否还能增加路由价值。在文档、音频和视频RAG中，我们在保持可选动作、路由家族、训练流程和评估设置不变的前提下，对比了匹配的仅查询路由器和查询+检索路由器。在留出的最终评估中，添加所测试的检索信号并未在路由性能上产生对仅查询基线的可靠改进。某些检索信号与后续步骤是否有帮助存在关联，但这种可预测性并未持续转化为更好的执行/跳过（RUN/SKIP）决策。因此，主要教训是方法论层面的：除非检索状态特征能超越匹配的仅查询对照，否则不应将其归因于路由价值。我们的结果并不表明路由或检索状态普遍无用；而是表明检索信号的增量价值必须通过实证证明，而非想当然地假定。
英文摘要
Adaptive RAG often uses retrieval-time signals to decide whether another retrieval, reranking, or multimodal step should run. We ask whether these signals add routing value once the query itself is already known. Across document, audio, and video RAG, we compare matched query-only and query+retrieval routers while holding the optional actions, router family, training procedure, and evaluation fixed. On the held-out final evaluation, adding the tested retrieval signals does not produce a reliable routing improvement over the query-only baseline. Some retrieval signals are associated with whether a later step will help, but that predictability does not consistently lead to bet- ter RUN/SKIP decisions. The main lesson is therefore methodological: retrieval-state features should not be credited with routing value unless they improve over a matched query-only control. Our results do not show that routing or retrieval state is generally useless; they show that the incremental value of retrieval signals must be demonstrated rather than assumed.
