2024 "dense retrieval" Papers

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Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation

Zhihao Zhang, Alan Zhu, Lijie Yang et al.

ICML 2024poster

A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

Nicholas Monath, Will Grathwohl, Michael Boratko et al.

ICML 2024posterarXiv:2409.01890

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

AAAI 2024paperarXiv:2401.00165

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong et al.

AAAI 2024paperarXiv:2402.11855