2 papers
cs.AI2026
MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
Chi-Hsiang Hsiao, Yi-Cheng Wang, Tzung-Sheng Lin +2
Retrieval-augmented generation (RAG) enables large language models (LLMs) to dynamically access external information, which is powerful for answering questions over previously unse…
cs.IR2024
A Survey of Generative Information Retrieval
Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin +3
Generative Retrieval (GR) is an emerging paradigm in information retrieval that leverages generative models to directly map queries to relevant document identifiers (DocIDs) withou…