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  1. Implementation code for the paper "Parallel Structures in Pre-training Data Yield In-Context Learning"

    Python 5 2

  2. Implementation code for the paper "Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations"

    Python 4

  3. Implementation code for the paper "Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning"

    Python 2 2

  4. Implementation code for the paper "Meta-learning via Language Model In-context Tuning" (ACL 2022)

    Python 25 4

  5. Implementation code for the paper "On the Relation between Sensitivity and Accuracy in In-context Learning" (EMNLP 2023 Findings)

    Python

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