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cs.IR2026
Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
Benjamin Clavié, Sean Lee, Aamir Shakir +1
We propose Latent Terms, a method revealing that models trained for dense retrieval, whether single- or multi-vector, learn representations that can trivially be decomposed into re…
cs.IR2026
IncompeBench: A Permissively Licensed, Fine-Grained Benchmark for Music Information Retrieval
Benjamin Clavié, Atoof Shakir, Jonah Turner +3
Multimodal Information Retrieval has made significant progress in recent years, leveraging the increasingly strong multimodal abilities of deep pre-trained models to represent info…