Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework
Humor generation presents significant challenges in the field of natural language processing, primarily due to its reliance on cultural backgrounds and subjective interpretations. These factors contribute to the variability of human-generated humor, necessitating computational models capable of mast...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03024.pdf |
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