readme: ---
  license: mit
  ---
  
  This model is ANCE-Tele trained on MS MARCO, described in the EMNLP 2022 paper ["Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives"](https://arxiv.org/pdf/2210.17167.pdf). 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.
  
  
  |MS MARCO (Dev)|MRR@10|R@1K|
  |:---|:---|:---|
  |ANCE-Tele|39.1|98.4|
  
  
  ```
  @inproceedings{sun2022ancetele,
    title={Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives},
    author={Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu and Jie Bao},
    booktitle={Proceedings of EMNLP 2022},
    year={2022}
  }
  ```