arXiv (All)
open access
When the Judge Acts: Auditing VLM-Guided Image Selection on Culturally Situated Prompts
Vision-language models (VLMs) increasingly act as judges that pick the best of several generated images, so their choices decide what users see. Such judges are usually validated by score agreement with human ratings, not by the images they return. We audit VLM judges as decision-makers: on 300 cult
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
- Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework#822408
- CAPTCHAs in the Agentic Era: Solvers That Learn from Every Encounter#924277
- CAPTCHAs in the Agentic Era: Solvers That Learn from Every Encounter#920046
- Using OCR Heads to Verbalize Image Semantics#1012983
- Using OCR Heads to Verbalize Image Semantics#965456
Record · ID 1156515
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