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cs.IR2025★ 1 cited
CRISP: Clustering Multi-Vector Representations for Denoising and Pruning
João Veneroso, Rajesh Jayaram, Jinmeng Rao +3
Multi-vector models, such as ColBERT, are a significant advancement in neural information retrieval (IR), delivering state-of-the-art performance by representing queries and docume…
cs.IR2023
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego +3
There has been limited success for dense retrieval models in multilingual retrieval, due to uneven and scarce training data available across multiple languages. Synthetic training…