Reproduce “VisSearch-Bench: Evaluating Long Horizon Visual Search in Multimodal Agents” on OpenResearch

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About this paper

ZhengXian Wu, Qianhao Nie, Zhuohong Chen, Junjie Gao, Yuyao Zhang, Yunyao Yu, Hangrui Xu, Cheng Cheng and 5 more

VisSearch-Bench tests whether multimodal agents keep visual evidence linked to the right objects and facts during open-web search. Its 204 tasks score complete answers with Accuracy and recovered answer components with Process Score. ReAct with Kimi-K3 achieves the highest Accuracy, 26.47%; GPT-5.5 + ReAct has the highest Process Score, 49.52%. These metrics distinguish complete-task success from partial recovery.

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