AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles
I Panagiotopoulos, G Filandrianos… - arXiv preprint arXiv …, 2024 - arxiv.org
arXiv preprint arXiv:2404.01084, 2024•arxiv.org
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 …
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 …
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.
arxiv.org
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