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cs.IR2026
Adaptive Sparsity Optimization with Learnable Soft Top-K and Per-Term Thresholding for Efficient Retrieval
Wentai Xie, Parker Carlson, Shanxiu He +1
Recent work on neural sparse retrieval has demonstrated strong relevance by leveraging Large Language Models (LLMs) for semantic term expansion. However, learned models paired with…
cs.IR2026
Efficiency Optimizations for Superblock-based Sparse Retrieval
Parker Carlson, Wentai Xie, Rohil Shah +1
Learned sparse retrieval (LSR) is a popular method for first-stage retrieval because it combines the semantic matching of language models with efficient CPU-friendly algorithms. Pr…