Update README.md

README.md

@@ -8,4 +8,28 @@ pipeline_tag: question-answering
 tags:
 - logical reasoning
 - reasoning
----
+---
+
+
+## Model Details
+
+These are the trained models for **LoGiPT** from NAACL'24 paper: *"Language Models can be Deductive Solvers"*.
+
+- LoGiPT-[A]-[B]: The specific model version of LoGiPT
+  - [A]: The backbone model, which can be 'vicuna-13b-v1.5-16k', 'CodeLlama-13b-hf' or 'CodeLlama-13b-Instruct-hf'.
+  - [B]: The training data, which can be 'proofwriter' or 'prontoqa'.
+
+All models are organised in Vicuna-style and trained by [FastChat-0.2.30](https://github.com/lm-sys/FastChat).
+
+All training examples are organised in Json-format and Vicuna-style in [jzfeng/LoGiPT-data](https://huggingface.co/datasets/jzfeng/LoGiPT-data).
+
+### If you find these models helpful, please cite our NAACL'24 paper: (or Arxiv version: https://arxiv.org/abs/2311.06158)
+```shell
+@inproceedings{feng2024language,
+  title={Language Models can be Deductive Solvers},
+  author={Feng, Jiazhan and Xu, Ruochen and Hao, Junheng and Sharma, Hiteshi and Shen, Yelong and Zhao, Dongyan and Chen, Weizhu},
+  booktitle={Findings of the Association for Computational Linguistics: NAACL 2024},
+  pages={4026--4042},
+  year={2024}
+}
+```