arXiv (OAI Expanded)
open access
Through the Eyes of the Beholder: Biometric and Demographic Conditioning for Multimodal Sexism Detection
Detecting sexism on the internet is a fundamentally subjective task; our team, VANGUARD, addresses this challenge in the EXIST 2026 Task 2 by proposing a human-centered multimodal framework that analyses and incorporates the psychological and demographic characteristics of human annotators into the
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
- Establishing a Dynamic Multimodal HRI Dataset for Engagement Analysis with a Humanoid Robot#925609
- Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection#799031
- Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection#797616
- Social Caption: Evaluating Social Understanding in Multimodal Models#799945
- Benevolent Bias in Multi-Turn Human-Agent Dialogue#794021
Record · ID 1109594
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