Merge remote-tracking branch 'origin/logigan'

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)**

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}
+}
+```