fan19-hub/LEMMA
LEMMA: An effective and explainable way to detect multimodal misinformation with LVLM and external knowledge augmentation, incorporating the intuition and reasoning capbility inside LVLM.
This project helps identify misinformation by analyzing posts that combine images and text, like those found on social media. It takes multimodal content (pictures and words) and external knowledge as input to determine if the information is deceptive, providing a clear explanation for its conclusion. Social media managers, content moderators, and researchers studying online deception would find this tool useful.
No commits in the last 6 months.
Use this if you need to automatically detect and understand why certain image-text posts on platforms like Twitter or Reddit might contain misinformation.
Not ideal if you are dealing solely with text-based or video-based content, or if you need to detect subtle biases rather than outright misinformation.
Stars
24
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/fan19-hub/LEMMA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the...
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
katanaml/sparrow
Structured data extraction and instruction calling with ML, LLM and Vision LLM