AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles
<|reference_start|>AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles: In this paper, we outline our submission for the SemEval-2024 Task 9 competition: 'BRAINTEASER: A Novel Task Defying Common Sense'. We engage in both sub-tasks: Sub-task A-Sentence Puzzle and Sub-task B-Word Puzzle. We evaluate a plethora of pre-trained transformer-based language models of different sizes through fine-tuning. Subsequently, we undertake an analysis of their scores and responses to aid future researchers in understanding and utilizing these models effectively. Our top-performing approaches secured competitive positions on the competition leaderboard across both sub-tasks. In the evaluation phase, our best submission attained an average accuracy score of 81.7% in the Sentence Puzzle, and 85.4% in the Word Puzzle, significantly outperforming the best neural baseline (ChatGPT) by more than 20% and 30% respectively.<|reference_end|>
@article{panagiotopoulos2024ails-ntua,
    title={AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer
  Models for Lateral Thinking Puzzles},
    author={Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou,
  Giorgos Stamou},
    journal={arXiv preprint arXiv:2404.01084},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.01084},
    primaryClass={cs.CL cs.AI}
}