The study explores the effects of word order on natural language processing, particularly focusing on ChatGPT. By conducting experiments with different datasets and tasks like order reconstruction and continuing generation, the research challenges the hypothesis that models do not rely on word order. Results show that disrupting word order significantly impacts certain datasets more than others, indicating the importance of word order in ChatGPT's performance. The study highlights the varying significance of word order in different contexts and tasks, emphasizing the need for diverse dataset analysis to understand its impact fully.
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by Qinghua Zhao... at arxiv.org 03-19-2024
https://arxiv.org/pdf/2403.11473.pdfDeeper Inquiries