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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@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 DetailsDetails@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} }