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cs.IR2026
Dual-View Training for Instruction-Following Information Retrieval
Qingcheng Zeng, Puxuan Yu, Aman Mehta +2
Instruction-following information retrieval (IF-IR) studies retrieval systems that must not only find documents relevant to a query, but also obey explicit user constraints such as…
cs.IR2026
Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
Qingcheng Zeng, Yuheng Lu, Zeqi Zhou +6
Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monol…
cs.IR2024
Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies
Puxuan Yu, Antonio Mallia, Matthias Petri
We explore leveraging corpus-specific vocabularies that improve both efficiency and effectiveness of learned sparse retrieval systems. We find that pre-training the underlying BERT…