arXiv (All)
open access
FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Self-Verification
Agentic vision-language models (VLMs), which interleave textual reasoning with explicit tool calls such as cropping and code-based image manipulation, have emerged as a compelling paradigm for reliable and interpretable multi-modal reasoning. However, recent studies have revealed that such models of
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems#819295
- MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems#809302
- Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security#798236
- Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security#796823
- VLM-in-Sandbox: Visual Workspaces for Agentic Visual Reasoning#1050541
Record · ID 1131621
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive