silent-failures-in-multimodal-agentic-searcha-diag

name	silent-failures-in-multimodal-agentic-searcha-diag
description	Skill generated from arXiv paper 2607.19793: Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation
metadata	{"arxiv":{"id":"2607.19793","title":"Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation","authors":["Zhengxian Wu","Junjie Gao","Kai Yang"],"published":"2026-07-22","categories":["cs.AI","cs.CV"],"url":"https://arxiv.org/abs/2607.19793","utility":1}}

Silent Failures in Multimodal Agentic Search:A Diagnostic Taxonomy and Cross-Judge Evaluation

arXiv: 2607.19793
Published: 2026-07-22
Authors: Zhengxian Wu, Junjie Gao, Kai Yang
Categories: cs.AI, cs.CV
Utility: 1.00

Key Innovation

Multimodal agentic search systems increasingly rely on external tools to answer knowledge-intensive visual questions. However, existing evaluations mainly focus on final-answer accuracy and may miss failures in the search trajectory. In this work, we study such hidden reliability issues as silent failures. We introduce a six-category taxonomy covering modality shortcuts, phantom grounding, wrong-evidence-right-answer cases, over-retrieval laundering, cross-modal contradiction, and provenance hal...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CV.

References

• arXiv: https://arxiv.org/abs/2607.19793