Beyond Linear LLM Invocation: An Efficient and Effective Semantic Filter Paradigm
Large language models (LLMs) are increasingly used for semantic query processing over large corpora. A set of semantic operators derived from relational algebra has been proposed to provide a unified interface for expressing such queries, among which the semantic filter operator serves as a cornerstone. Given a table T with a natural language predicate e, for each tuple in the relation, the execution of a semantic filter proceeds by constructing an input prompt that combines the predicate e with its content, querying the LLM, and obtaining the binary decision. However, this tuple-by-tuple evaluation necessitates a complete linear scan of the table, incurring prohibitive latency and token ...
| Authors | Nan Hou, Kangfei Zhao, Jiadong Xie et al. |
|---|---|
| Primary category | cs.DB |
| Published | 5 March 2026 |
| Last updated at source | 5 March 2026 |
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