AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles

Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou, Giorgos Stamou
4/1/2024
cs.CLcs.AI

No official code found. Best implementation: GiannisPana/AILS-NTUA-at-SemEval-2024-Task-9-Brainteaser (4 stars, last commit 2024-04-16).

Abstract

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.

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Code Implementations(1)

SemEval-2024 Task 9 competition code repository.

42Jupyter NotebookFeb 20, 20242 years ago

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Cite this paper

@article{panagiotopoulos2024ailsntua,
  title  = {AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles},
  author = {Ioannis Panagiotopoulos and Giorgos Filandrianos and Maria Lymperaiou and Giorgos Stamou},
  year   = {2024},
  eprint = {2404.01084},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.01084v1}
}

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