mlsanityData to 14 Oct 2026

DuanzAI: Slang-Enhanced LLM with Prompt for Humor Understanding

arXiv 2405.15818 ↗First posted 23 May 2024cs.CLcited by 2

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Abstract (arXiv)

Language's complexity is evident in the rich tapestry of slang expressions, often laden with humor and cultural nuances. This linguistic phenomenon has become increasingly prevalent, especially in digital communication. However, existing AI models, including ChatGPT-3.5, face challenges in comprehending these nuances, particularly in Chinese slang. In this study, we present DuanzAI, an innovative approach enhancing Large Language Models (LLMs) with deep Chinese slang comprehension. Leveraging curated datasets and advanced techniques, DuanzAI bridges the gap between human expression and AI comprehension, enabling contextually relevant responses. Our experiments contrast LLMs' performance with a custom Punchline Entity Recognition (PER) system, integrating phonetic matching and pinyin2hanzi techniques. Applying these insights, we developed ChatDAI, an advanced chatbot and released our code at urlhttps://github.com/YesianRohn/DuanzAI.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 19 references that are in the map. First posted on arXiv 23 May 2024.

Builds on

5 of 19 references.

References · 5

  1. 2015Character-level Convolutional Networks for Text Classificationcited by 2,330
  2. 2022Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contestcited by 98
  3. 2018Simple Models for Word Formation in English Slangcited by 8
  4. 2019Adapting Sequence to Sequence models for Text Normalization in Social Mediacited by 8
  5. 2015Detection of Slang Words in e-Data using semi-Supervised Learningcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.