selfcheckgpt 0.1.5

SelfCheckGPT: Assessing text-based responses from LLMs

• Code for our paper “SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models”, https://arxiv.org/abs/2303.08896

• More information can be found on our project page: https://github.com/potsawee/selfcheckgpt

Installation

pip install selfcheckgpt

SelfCheckGPT Usage

See more details in Jupyter Notebook: https://github.com/potsawee/selfcheckgpt/blob/main/demo/SelfCheck_demo1.ipynb

from selfcheckgpt.modeling_selfcheck import SelfCheckMQAG, SelfCheckBERTScore

selfcheck_mqag = SelfCheckMQAG()
selfcheck_bertscore = SelfCheckBERTScore()

sent_scores_mqag = selfcheck_mqag.predict(
    sentences,
    passage,
    [sample1, sample2, sample3],
    num_questions_per_sent = 5,
    scoring_method = 'bayes_with_alpha',
    beta1 = 0.8, beta2 = 0.8,
)
sent_scores_bertscore = selfcheck_bertscore.predict(
    sentences,
    [sample1, sample2, sample3],
)

MQAG Usage

See more details in Jupyter Notebook: https://github.com/potsawee/selfcheckgpt/blob/main/demo/MQAG_demo1.ipynb

from selfcheckgpt.modeling_mqag import MQAG
mqag_model = MQAG()