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cs.IR2026
DEPT: Document Embedding Preservation Tuning for Unified Query Expansion and Retrieval
Jingyuan Wang, Richong Zhang, Zhijie Nie +2
Large language models (LLMs) can both expand underspecified queries and encode text as dense representations, suggesting a unified model for query expansion and retrieval. Existing…
cs.IR2026
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
Zhanyu Wu, Richong Zhang, Zhijie Nie
Dense retrieval represents queries and documents as high-dimensional embeddings, but these representations can be redundant at the query level: for a given information need, only a…