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Reproducible Source Codes for the $M^4$ XAI Benchmark

The code can be found here.

Note that this code is for the reproducible purpose. A wrapper for these modulars is on the plan.

This code is implemented using PaddlePaddle and InterpretDL. A demo using HuggingFace models and InterpretDL can be found here. A demo using Pytorch models and InterpretDL can be found here.

Paper:

Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong. “M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.” Neurips 2023, Dataset and Benchmark Track. https://openreview.net/forum?id=6zcfrSz98y.