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"How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense ..."

Sheng-Chieh Lin et al. (2023)

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DOI: 10.18653/V1/2023.FINDINGS-EMNLP.423

access: open

type: Conference or Workshop Paper

metadata version: 2024-05-07

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  dblp key:
  - conf/emnlp/LinALOLMY023
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  persistent URL:
  - https://dblp.org/rec/conf/emnlp/LinALOLMY023
Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) 2023: 6385-6400

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