The KANDUH team reports results from the NTCIR-17 Transfer Task focusing on dense vector search enhancements.
The KANDUH team participated in the Transfer subtasks 1 and 2 of NTCIR-17.In this paper, we report on our approach to solving the problem and the results.Subtasks 1 and 2 address the dense vector search task, respectively.In both subtasks 1 and 2, we used BM25 to filter documents, followed by dense vector retrieval.The method with the highest nDCG@20 was 0.4339 the one that first finetuned DeBERTa-v2 with MSMARCO and then additionally finetuned with NTCIR-1 data.On the other hand, the method with the lowest nDCG@20 was 0.0751 the one that fine-tuned only MSMARCO data.
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Hashiguchi et al. (2023) studied this question.
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