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BoKA

This repo provides the code for reproducing BoKA: an automatic knowledge amalgamation framework for identifying a combination that can learn a superior student model without human labor.

Datasets

We use two multi-domain datasets:

Experiments

  1. To automatically select combinations, conduct the plural KA process, and evaluate the produced student model, use the following commands:

    • python bo.py (for PubMedQA)
    • python bo_medmcqa.py (for MedMCQA)
  2. We provide superior student models on PubMedQA and MedMCQA, respectively. (https://drive.google.com/drive/folders/1UKUfop1ZXm4_V70xIv_iS6ZNpJi5Scxi?usp=sharing) The evaluation commands are as follows:

    • python evaluate.py (for both PubMedQA and MedMCQA)

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