most citedConventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data

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cs.IR2025★ 1 cited

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data

Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh +1

We investigate improving the retrieval effectiveness of embedding models through the lens of corpus-specific fine-tuning. Prior work has shown that fine-tuning with queries generat…

cs.IR2025

Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation

Manveer Singh Tamber, Suleman Kazi, Vivek Sourabh +1

While the current state-of-the-art dense retrieval models exhibit strong out-of-domain generalization, they might fail to capture nuanced domain-specific knowledge. In principle, f…