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Relevance-Guided Residual Calibration for Spectral Compression of Dense Retrieval Embeddings
Spectral compression reduces the storage and scoring costs of dense retrieval by projecting embeddings onto a smaller principal …
Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas
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On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
Decoder-only large language models (LLMs) are increasingly replacing BERT-style architectures as the backbone for dense retrieval, …
Yongkang Li, Panagiotis Eustratiadis, Yixing Fan, Evangelos Kanoulas
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