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arXiv:cs.CL· Yulin Zhang, Yukun Huang, Sanxing Chen, Tianyi Lin, Ziang Yang, Xunjian Yin, Bhuwan Dhingra·· 6 小时前

Lazy Grounding:用事实证据攻击搜索智能体

Lazy Grounding: Attacking Search Agents with Factual Evidence

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研究者提出"Lazy Grounding"攻击:向搜索语料注入来自基准问题改写版的邻近事实证据,虽为真实信息却会误导搜索智能体。在 12 个模型-基准组合中,该攻击使回答准确率平均下降 5.9 分,最高下降 17.3 分,且每种设置下都出现邻近答案采纳现象。邻近证据出现位置越靠后或越像答案,效果越强;代码已公开。

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Abstract:Search agents mitigate hallucination by grounding their answers in retrieved web results. However, retrieval-based approaches also introduce an attack surface: agents may cite misinformation from poisoned search corpora containing false or malicious documents. We demonstrate that, in some cases, search agents' reasoning and responses may be steered by completely factual but distracting information. We refer to this failure as lazy grounding. We expose lazy grounding by injecting nearby evidence from answer-changing rewrites of benchmark questions into the search corpora. Each document contains factual evidence that supports a neighboring rewritten question but is retrieved for the original question. Across 12 model-benchmark pairs, the attack causes the accuracy of search agents' responses to drop by 5.9 points on average and by up to 17.3 points, while inducing nearby-answer adoption in every setting. The effect is even stronger when nearby evidence appears later or is more answer-shaped. Our results show that robust search agents must defend against not only misinformation but also the misapplication of factual evidence. The code is publicly available at this https URL.
Comments: Accepted to EMNLP 2026 (Main Conference). Code: this https URL
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2608.30303 [cs.CL]
  (or arXiv:2608.30303v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.30303

arXiv-issued DOI via DataCite

Submission history

From: Yulin Zhang [view email]
[v1] Mon, 31 Aug 2026 06:19:04 UTC (134 KB)
[v2] Tue, 1 Sep 2026 05:31:51 UTC (134 KB)
[v3] Tue, 13 Oct 2026 19:17:11 UTC (135 KB)

来源:arXiv:cs.CL · arxiv.org