OpenMatch / ance-tele_nq_psg-encoder

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Total runs: 7
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7-day runs: -1
30-day runs: -1
Model's Last Updated: March 20 2023
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Introduction of ance-tele_nq_psg-encoder

Model Details of ance-tele_nq_psg-encoder

This model is the passage encoder of ANCE-Tele trained on NQ, described in the EMNLP 2022 paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives" . The associated GitHub repository is available at https://github.com/OpenMatch/ANCE-Tele .

ANCE-Tele only trains with self-mined negatives (teleportation negatives) without using additional negatives (e.g., BM25, other DR systems) and eliminates the dependency on filtering strategies and distillation modules.

NQ (Test) R@5 R@20 R@20
ANCE-Tele 77.0 84.9 89.7
@inproceedings{sun2022ancetele,
  title={Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives},
  author={Si, Sun and Chenyan, Xiong and Yue, Yu and Arnold, Overwijk and Zhiyuan, Liu and Jie, Bao},
  booktitle={Proceedings of EMNLP 2022},
  year={2022}
}

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ance-tele_nq_psg-encoder huggingface.co

ance-tele_nq_psg-encoder huggingface.co is an AI model on huggingface.co that provides ance-tele_nq_psg-encoder's model effect (), which can be used instantly with this OpenMatch ance-tele_nq_psg-encoder model. huggingface.co supports a free trial of the ance-tele_nq_psg-encoder model, and also provides paid use of the ance-tele_nq_psg-encoder. Support call ance-tele_nq_psg-encoder model through api, including Node.js, Python, http.

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ance-tele_nq_psg-encoder install

ance-tele_nq_psg-encoder is an open source model from GitHub that offers a free installation service, and any user can find ance-tele_nq_psg-encoder on GitHub to install. At the same time, huggingface.co provides the effect of ance-tele_nq_psg-encoder install, users can directly use ance-tele_nq_psg-encoder installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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