Check out our paper here!
You can set up the virual environment using conda:
conda env create -f environment.yml
You can download the pre-processed data from here:
You can also find all the pre-processing scripts under ./preprocess
.
You can use the original DPR repo for training DPR.
We provide the prediction files for the DPR-All
model.
You can train the extractive reader with:
make run-reader
You can change the hyperparameters in the Makefile.
You can use the original FiD repo for training FiD.
You must first set the environment variable OPENAI_API_KEY
to your API key.
For the LLM experiments:
make test-gpt3
You can change the model name and other configurations in the Makefile.
make run-classifier
For any questions, please feel free to reach out to Howard (hyen@princeton.edu
).