gasolsun/DynamicRAG-Eval-Data

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Paper | Code DynamicRAG is an innovative framework for Retrieval-Augmented Generation (RAG) that dynamically adjusts both the order and number of retrieved documents per query. A reinforcement learning (RL) agent serves as the reranker, optimizing document retrieval based on feedback from a Large Language Model (LLM). The training process is divided into two… See the full description on the dataset page: https://huggingface.co/datasets/gasolsun/DynamicRAG-Eval-Data.

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