agent/papers/items/2025-2510-22768-seeing-is-believing-evaluating-vision-language-model-susceptibility-in-agent-to-.md

Paper: Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion

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type: paper title: Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion authors: Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit, Kung-Hsiang Huang, Jiaxin Zhang, Nanyun Peng, Chien-Sheng Wu year: 2025 venue: arXiv url: https://arxiv.org/abs/2510.22768 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-10-26 updated_at: 2026-06-02 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: function-calling

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, agent-safety, multi-agent, rag, tool-use
• arXiv categories: cs.CL
• collection score: 14

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2510.22768