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First figure from paper. Top left: zero-shot completion example. Top right: Fully-supervised example. Bottom, highlighted: our few-shot approach using natural language prompts.

This repository contains code for Analyzing Commonsense Emergence in Few-Shot Knowledge Models (AKBC 2021). The repository is organized in two sections in accordance with the paper format:

  • Section 4 contains code, trained models, and training data for few-shot analysis of model analysis
  • Section 5 contains code for generating the analysis on L1 distances, angular distance, and AUC curve heatmaps.

Since the codebases are mostly independent, please refer to the README.md in each corrasponding folder for information on setting up your enviroment, downloading files, and running scripts.

Notes

  • For public inquiries, please create a GitHub issue with questions and suggestions. We suggest that you create a pull request instead of an issue for fixes and updates.
  • Please contact [email protected] for any private inquiries.

License

This work is under the Apache 2.0 license.

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