@inproceedings{abbas-abdul-rauf-2026-slpgfjwuinsa,
title = "{SLPGFJWUI}nsa at {S}em{E}val-2026 Task 1: Enhancing Linguistic Creativity for {E}nglish Text-Based Humor",
author = "Abbas, Insa and
Abdul Rauf, Sadaf",
editor = "Kochmar, Ekaterina and
Ghosh, Debanjan and
North, Kai and
Komachi, Mamoru",
booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.semeval-1.231/",
pages = "1832--1839",
ISBN = "979-8-89176-414-9",
abstract = "For Subtask A, our main goal is to create a joke generating system that focuses on humor generation under constrained conditions using unusual words and news headlines as input. We trained our model on LLM-generated and human-curated augmented data aimed to produce constrained humor and to bridge the gap between the two. We demonstrate that using parameter-efficient fine-tuning (PEFT) on high-quality pre-trained base models in conjunction with a well-crafted prompt design allows our model to produce high-quality innovative output while maintaining the desired style."
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<abstract>For Subtask A, our main goal is to create a joke generating system that focuses on humor generation under constrained conditions using unusual words and news headlines as input. We trained our model on LLM-generated and human-curated augmented data aimed to produce constrained humor and to bridge the gap between the two. We demonstrate that using parameter-efficient fine-tuning (PEFT) on high-quality pre-trained base models in conjunction with a well-crafted prompt design allows our model to produce high-quality innovative output while maintaining the desired style.</abstract>
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%0 Conference Proceedings
%T SLPGFJWUInsa at SemEval-2026 Task 1: Enhancing Linguistic Creativity for English Text-Based Humor
%A Abbas, Insa
%A Abdul Rauf, Sadaf
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F abbas-abdul-rauf-2026-slpgfjwuinsa
%X For Subtask A, our main goal is to create a joke generating system that focuses on humor generation under constrained conditions using unusual words and news headlines as input. We trained our model on LLM-generated and human-curated augmented data aimed to produce constrained humor and to bridge the gap between the two. We demonstrate that using parameter-efficient fine-tuning (PEFT) on high-quality pre-trained base models in conjunction with a well-crafted prompt design allows our model to produce high-quality innovative output while maintaining the desired style.
%U https://aclanthology.org/2026.semeval-1.231/
%P 1832-1839
Markdown (Informal)
[SLPGFJWUInsa at SemEval-2026 Task 1: Enhancing Linguistic Creativity for English Text-Based Humor](https://aclanthology.org/2026.semeval-1.231/) (Abbas & Abdul Rauf, SemEval 2026)
ACL