IEEE

A RAG-Assisted DRL Framework for Microservices Deployment in 6G Vehicular Networks

Abstract: Modern edge cloud platforms must efficiently deploy and route containerized microservice DAGs under strict latency and cost constraints, while adapting to rapidly changing workloads and ...
IEEE

The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoning

Abstract: In recent years, accurately and quickly deploying medical large language models (LLMs) has become a trend. Among these, retrieval-augmented generation (RAG) has garnered attention due to ...
GitHub

Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning

Vision Language Models have demonstrated significant potential in medical imaging tasks, but pathology presents unique challenges due to its ultra-high resolution, complex tissue structures, and ...
GitHub

GitHub - 2501Pr0ject/RAGnarok-AI: Local-first RAG evaluation framework for LLM applications. 100% local, no API keys required.

Local-first RAG evaluation framework for LLM applications. 100% local, no API keys required.