arXiv (All)
open access
STEMTOX: From Collaborative Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning
Memes, as a widely used mode of online communication, often serve as vehicles for spreading harmful content. However, limitations in data accessibility and the high costs of dataset curation hinder the development of robust meme moderation systems. To address this challenge, in this work, we introdu
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
- MemeLens: Multilingual Multitask VLMs for Memes#1035374
- MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction#1034934
- Meme Hunting with the Humdrum Toolkit: Principles, Problems, and Prospects#169803
- Online Meme Community of Fire Emblem: Three Houses#183371
- Multilabel prediction of virus target proteins via multimodal graph representation learning.#255282
Record · ID 1116120
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