Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task

Ali Nemati5 days ago23 sec read18 views

Researchers introduced a system to enhance language models' lateral thinking abilities by fine-tuning DeBERTaV3 with additional humor and riddle datasets, achieving high accuracy in the SemEval 2024 BRAINTEASER task's sentence puzzles but facing challenges with word-level tasks. This approach underscores the importance of data augmentation for creative reasoning in NLP models.

Read the full article at arXiv cs.CL (NLP)

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Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task

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