Papers with Natural language counterfactual generation

    1 papers
    A Survey on Natural Language Counterfactual Generation (2024.findings-emnlp)

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    Challenge: Recent advances in NLP are driven by a variety of Large Language Models (LLMs), such as GPT-3 (175B) and PaLM (540B).
    Approach: They propose a taxonomy that categorizes the methods into four groups and summarizes the metrics for evaluating the generation quality.
    Outcome: The proposed taxonomy categorizes the generation methods into four groups and summarizes the metrics for evaluating the quality.

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