NCBI PubMed Central
open access
Like humans, language models demonstrate face-to-character biases.
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
- Anchored, Not Graded: Vision-Language Models Fail at Slant-from-Texture Perception#996912
- Sex and gender bias in large language models: an old problem at a new scale.#1167028
- Gender Bias in Vision-Language In-Context Learning#1064226
- GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models#924392
- GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models#920161
Record · ID 469009
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