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cs.IR2026
DoPR: Reusable Compressed Document Prefixes for Efficient LLM Reranking
Beiya Dai, Yifan Wei, Guang Yang +3
Large language models (LLMs) are effective rerankers, but pointwise reranking repeatedly processes the same document across different queries, causing substantial redundant documen…
cs.IR2024
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
Chang Su, Jiexing Qi, He Yan +2
Semantic parsing that translates natural language queries to SPARQL is of great importance for Knowledge Graph Question Answering (KGQA) systems. Although pre-trained language mode…