arXiv:2605.28044cs.AI2026-05被引 21

发现引用文献未必支撑结论,提出新评测基准检测论证强度失真。

Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG

论文配图:Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
图 1 · 摘自论文原文
  • 设计对比测试集,固定引用文本,改变论述力度五维度
  • 现有模型在力度校准上表现差,32.8%~36.4%的对子违反单调性
  • 适合评估大模型引用合理性,推动更严格的证据评测

引用型RAG评估常将可见来源视为事实依据,但一个主题相关引用仍可能无法支撑过强论断。我们将其称为‘引用洗白’:相关来源被用作过度主张的证明。为此提出FORCEBENCH,一种对比性压力测试,用于证据力度校准。每项测试固定引用段落,沿关系、模态、范围、时间有效性、数值精确性五个维度,配对一个证据校准的陈述与一个局部力度提升的变体。理想评估者应给校准版本更高评分。头部实验使用198对经局部过滤的固定测试集。引用存在性检查本就不具信息量;即使在词元和实体重叠情况下,仍有32.8%–36.4%的对子违反单调性。四个模型裁判结果显示,通用支持提示不足以应对此压力测试(综合MVR 47.2%),而显式强调论证强度提示可降至24.5%,但仍不完美。我们公开基准、提示、输出及插件管道,供引用评估者报告单调性违规率与力度敏感性,作为常规支持度指标的补充。

原文摘要 · Abstract (English)

Cited RAG evaluation often treats visible sources as a grounding signal, but a real, topically relevant citation can still under-warrant the attached wording. We study this diagnostic failure as citation laundering: a related source is presented as warrant for an over-strong claim. We introduce FORCEBENCH, a contrastive stress test for evidence-force calibration. Each item holds a cited passage fixed and pairs an evidence-calibrated claim with a localized force-raised variant across five operational axes: relation, modality, scope, temporal validity, and numeric specificity. A calibrated evaluator should score the evidence-calibrated claim higher. Headline experiments use a fixed, locality-filtered 198-pair evaluation set. A citation-presence sanity check is uninformative by design; token and entity overlap still violate monotonicity on 32.8--36.4% of pairs. Across four reported model judges, standard generic support prompting is insufficient for this force-calibration stress test (aggregate MVR 47.2%), while explicit warrant-strength prompting lowers MVR to 24.5% but remains imperfect. We release the benchmark, prompts, outputs, and plug-in pipeline so citation evaluators can report monotonicity violation rate and force sensitivity alongside conventional support metrics.

RAG评测基准证据校准

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