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We build a real-time updated websit for NL2Code powered by LLMs, click here to visit the website.

We hope that our work can facilitate the research work of researchers in LLMs for NL2Code. Furthermore, we also hope everyone can contribute to the website by adding up-to-date NL2Code papers.

Citation

@inproceedings{zan2023large,
  title={Large Language Models Meet NL2Code: A Survey},
  author={Daoguang Zan and Bei Chen and Fengji Zhang and Dianjie Lu and Bingchao Wu and Bei Guan and Yongji Wang and Jian-Guang Lou},
  booktitle={Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics},
  year={2023}
}