2 papers
cs.DB2026
Beyond Scale and Generation: Understanding Language Model-based Entity Matching
Zeyu Zhang, Xue Li, Iacer Calixto +2
Entity matching identifies records that refer to the same real-world entity. Language models can be adapted to this task through bi-encoder, cross-encoder, and generative matcher a…
cs.DB2026
Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration
Chuangtao Ma, Zeyu Zhang, Arijit Khan +2
Retrieval-augmented generation (RAG) enhances LLM reasoning in knowledge-intensive tasks, but existing RAG pipelines incur substantial retrieval and generation overhead when applie…