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Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates (EMNLP 2022)

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CME-EMNLP2022

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates, EMNLP 2022

Code and datasets for our paper.

Instructions

Use the following instructions to set up the dependencies:

$ conda activate [your_anaconda3_environment]
$ pip install -r requirements.txt

Datasets

Place it in the root directory.

Training

bash example.sh

Evaluating Calibration

bash eval.sh

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Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates (EMNLP 2022)

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