DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning

Suyash Vardhan Mathur, Akshett Jindal, Manish Shrivastava


Abstract
While significant work has been done in the field of NLP on vertical thinking, which involves primarily logical thinking, little work has been done towards lateral thinking, which involves looking at problems from an unconventional perspective defying existing conceptions and notions. Towards this direction, SemEval 2024 introduces the task of BRAINTEASER, which involves two types of questions – Sentence Puzzle and Word Puzzle that defy conventional common-sense reasoning and constraints. In this paper, we tackle both the questions using few-shot prompting on GPT-3.5 and gain insights regarding the difference in the nature of the two types of questions. Our prompting strategy placed us 26th on the leaderboard for the Sentence Puzzle and 15th on the Word Puzzle task.
Anthology ID:
2024.semeval-1.176
Volume:
Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1212–1216
Language:
URL:
https://aclanthology.org/2024.semeval-1.176
DOI:
Bibkey:
Cite (ACL):
Suyash Vardhan Mathur, Akshett Jindal, and Manish Shrivastava. 2024. DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1212–1216, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning (Mathur et al., SemEval 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-5/2024.semeval-1.176.pdf
Supplementary material:
 2024.semeval-1.176.SupplementaryMaterial.zip
Supplementary material:
 2024.semeval-1.176.SupplementaryMaterial.txt