diff --git a/README.md b/README.md index fcafa16..52bd1c7 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,11 @@ This repo hosts multiple open-source codes of the [Microsoft Research Asia DKI G ### Reasoning > **[LogiGAN: Learning Logical Reasoning via Adversarial Pre-training](logic_gan)** Xinyu Pi*, Wanjun Zhong*, Yan Gao, Nan Duan, Jian-Guang Lou, NeurIPS 2022. +<<<<<<< HEAD +======= + +>>>>>>> origin/logigan ### Text-to-SQL > **[UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL](unified_parser_text_to_sql)** diff --git a/logic_gan/README.md b/logic_gan/README.md new file mode 100644 index 0000000..4513d0c --- /dev/null +++ b/logic_gan/README.md @@ -0,0 +1,16 @@ +# LogiGAN +This repository serves primarily as codebase and data, model for training, evaluation and inference of the logical pre-training method LogiGAN. +[LogiGAN](https://arxiv.org/abs/2205.08794) (NeurIPS 2022) is the adversarial logical pre-training method with Transformer-based encoder-decoder backbone. +# Preprocessing + +# Citation +If you find this resource useful, please cite the paper introducing CARP: + +``` +@article{pi2022logigan, + title={LogiGAN: Learning Logical Reasoning via Adversarial Pre-training}, + author={Pi, Xinyu and Zhong, Wanjun and Gao, Yan and Duan, Nan and Lou, Jian-Guang}, + journal={arXiv preprint arXiv:2205.08794}, + year={2022} +} +```