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Showing 1 to 2 of 2 for “"NLG evaluation"”.

  1. Evaluating Natural Language Generation Tasks for Grammaticality, Faithfulness and Diversity

    Natural language generation (NLG) plays a vital role in many applications. Evaluating the quality of generated text is crucial for ensuring the effectiveness and user satisfaction of NLG systems. With the popularisation of deep learning in recent years, many models have been reported to achieve …

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  2. Analysing and Mitigating Classification Bias for Text-based Foundation Models

    … of performing general, zero-shot, and effective NLG assessment by prompting LLMs to make pairwise decisions. For LLM comparative assessment, we find that position bias is also present and demonstrate that averaging the probabilities over both permutations can result in more accurate decisions and …

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