Summary of Ails-ntua at Semeval-2024 Task 9: Cracking Brain Teasers: Transformer Models For Lateral Thinking Puzzles, by Ioannis Panagiotopoulos et al.
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles
by Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou, Giorgos Stamou
First submitted to arxiv on: 1 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper outlines a submission to the SemEval-2024 Task 9 competition, “BRAINTEASER: A Novel Task Defying Common Sense”, which consists of two sub-tasks: Sentence Puzzle and Word Puzzle. The authors fine-tune various pre-trained transformer-based language models of different sizes and analyze their scores and responses to provide insights for future researchers. Notably, the top-performing approaches secured competitive positions on the competition leaderboard across both sub-tasks, with the best submission achieving 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. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a competition called SemEval-2024 Task 9, where teams had to solve brain teasers that challenge common sense. The researchers tested different language models to see how well they could do this task. They used big computers to train the models and then checked how good they were at solving the puzzles. The best model was really good, beating other strong models by a lot. |
Keywords
» Artificial intelligence » Transformer
