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Small But Funny: A Feedback-Driven Approach to Humor Distillation
Feb. 29, 2024, 5:48 a.m. | Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Aditya Sagar, Ahmed Aly, Vered Shwartz, Arash Einolghozati
cs.CL updates on arXiv.org arxiv.org
Abstract: The emergence of Large Language Models (LLMs) has brought to light promising language generation capabilities, particularly in performing tasks like complex reasoning and creative writing. Consequently, distillation through imitation of teacher responses has emerged as a popular technique to transfer knowledge from LLMs to more accessible, Small Language Models (SLMs). While this works well for simpler tasks, there is a substantial performance gap on tasks requiring intricate language comprehension and creativity, such as humor generation. …
abstract arxiv capabilities creative cs.ai cs.cl distillation emergence feedback funny humor knowledge language language generation language models large language large language models light llms popular reasoning responses small tasks through transfer type writing
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