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Promptagator: Few-shot Dense Retrieval From 8 Examples. (arXiv:2209.11755v1 [cs.CL])
Sept. 26, 2022, 1:15 a.m. | Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
cs.CL updates on arXiv.org arxiv.org
Much recent research on information retrieval has focused on how to transfer
from one task (typically with abundant supervised data) to various other tasks
where supervision is limited, with the implicit assumption that it is possible
to generalize from one task to all the rest. However, this overlooks the fact
that there are many diverse and unique retrieval tasks, each targeting
different search intents, queries, and search domains. In this paper, we
suggest to work on Few-shot Dense Retrieval, a …
More from arxiv.org / cs.CL updates on arXiv.org
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