RK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Neural Information Processing Systems 

Answering real-world complex queries, such as complex product search, often requires accurate retrieval from semi-structured knowledge bases that involve blend of unstructured (e.g., textual descriptions of products) and structured (e.g., entity relations of products) information. However, many previous works studied textual and relational retrieval tasks as separate topics.

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