Awesome

Maieutic Prompting

This is an official code repository for our paper Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Requirements

pip install -r requirements.txt

Generation

In order to generate maieutic tree for a given set of questions, run main_generate.py. We provide the code and arguments to run generation for the 3 datasets - Com2Sense, CSQA 2.0, CREAK used in the paper. To simply run generation for the dev split of these datasets, run

python main_generate.py --dataset_name=${DATASET_NAME}

The code reads dataset file in ./data/{datset_name}/1_gen/dev.Q.json as input and outputs the pickled list of trees in ./data/{dataset_name}/1_gen/dev.G.pkl.

• We use treelib library to represent maieutic tree. For further documentation please refer to Official Doc.

The generation code requires OpenAI API key as an environment variable. For easier access to our method, we provide pre-generated files of maieutic tree for each dataset in ./data/{dataset_name}/1_gen/dev.G.pkl.

Inference

To run inference, run

python main_inference.py --device_id=${DEVICE_ID} --dataset_name=${DATASET_NAME}

device_id denotes the id of GPU to load the verifier model. The code reads dataset file in ./data/{datset_name}/1_gen/dev.Q.json and maieutic tree file in ./data/{dataset_name}/1_gen/dev.G.pkl