No Need for Explanations: LLMs can implicitly learn from mistakes in-context

This repository contains all the prompts used in the paper No Need for Explanations: LLMs can implicitly learn from mistakes in-context.

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Run create_prompt.py to create a new prompt with the following arguments (in this order):

• the desired prompting strategy (cot, cot_plus, explicit, or implicit),
• a task type (label_ans, label_step, edit, solve),
• a dataset of origin for the few-shot examples (gsm8k, asdiv, aqua, prm800k),
• a math reasoning question
• a pre-generated step-by-step answer (optional, not needed for the solve task type).

For example, to create and view a prompt for solving a given question using few-shot examples from the GSM8K dataset and the implicit learning prompting strategy, run:

>> python3 compose_prompt.py implicit solve gsm8k $QUESTION

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Citation

If you use this repository, please cite our work:

@misc{alazraki2025llmsimplicitlylearnmistakes,
      title={No Need for Explanations: LLMs can implicitly learn from mistakes in-context}, 
      author={Lisa Alazraki and Maximilian Mozes and Jon Ander Campos and Tan Yi-Chern and Marek Rei and Max Bartolo},
      year={2025},
      eprint={2502.08550},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.08550}, 
}