"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
- Updated
Sep 12, 2021 - Python
"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
Code of zlyang's master dissertation for Chinese grammatical error correction.
An interactive tool for exploring and comparing 5 different document re-ranking techniques with real-time evaluation and visualization to improve the accuracy of RAG System.
This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.
A Streamlit-based multilingual legal assistant that processes mining law PDFs, retrieves context using FAISS and Ollama RAG, and delivers answers with translation and audio output.
A powerful Retrieval-Augmented Generation (RAG) chatbot application built with JavaFX
Add a description, image, and links to the reranking-mechanism topic page so that developers can more easily learn about it.
To associate your repository with the reranking-mechanism topic, visit your repo's landing page and select "manage topics."