Author

Wang Kun

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#reinforcement learning Book Open access Aug 2026

NaviRAG: Learning to Navigate Knowledge Graphs for Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) has become a fundamental paradigm for enhancing Large Language Models (LLMs) with external knowledge. However, while recent structure-augmented approaches organize documents into graphs to improve information access, their retrieval strategies remain largely static, relying on simil...

Jinghong Lei, Wang Kun, Zhigang Chen et al. · Proceedings of the 32nd ACM... · 0 citations

Book Open access Aug 2026

NaviRAG: Learning to Navigate Knowledge Graphs for Retrieval-Augmented Generation

NaviRAG is a novel framework that reformulates retrieval as a reinforcement learning-driven dynamic navigation problem on schema-less knowledge graphs (KGs), achieving state-of-the-art performance in multi-hop QA while maintaining robustness in single-hop QA.

Jinghong Lei, Wang Kun, Zhigang Chen et al. · Proceedings of the 32nd ACM... · 0 citations