Le-Shen Sui

INTENT-PRESERVING FEEDBACK-GROUNDED LARGE LANGUAGE MODEL QUERY EXPANSION TECHNIQUES

Large language models can broaden query semantics but may introduce unsupported concepts and semantic drift when expanding short or ambiguous queries. To control this problem, this paper develops a feedback-grounded and intent-preserving query expansion method. The query encoder represents the original query, while top...