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InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model

Sidi Lu, Tao Meng, and Nanyun Peng, in Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.

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    Bib Entry

    @inproceedings{lu2022InsNet,
      title = {InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model},
      author = {Lu, Sidi and Meng, Tao and Peng, Nanyun},
      booktitle = {Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS)},
      year = {2022}
    }
    

    Related Publications

    • InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model

      Sidi Lu, Tao Meng, and Nanyun Peng, in Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
      Full Text BibTeX Details
      @inproceedings{lu2022InsNet,
        title = {InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model},
        author = {Lu, Sidi and Meng, Tao and Peng, Nanyun},
        booktitle = {Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS)},
        year = {2022}
      }
      
      Details