CleanComedy: Creating Friendly Humor through Generative Techniques
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Abstract (arXiv)
Humor generation is a challenging task in natural language processing due to limited resources and the quality of existing datasets. Available humor language resources often suffer from toxicity and duplication, limiting their effectiveness for training robust models. This paper proposes CleanComedy, a specialized, partially annotated toxicity-filtered corpus of English and Russian jokes collected from various sources. We study the effectiveness of our data filtering approach through a survey on humor and toxicity levels in various joke groups. In addition, we study advances in computer humor generation by comparing jokes written by humans with various groups of generative jokes, including our baseline models trained on the CleanComedy datasets.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 14 of its 28 references that are in the map. First posted on arXiv 12 Dec 2024.
Builds on
14 of 28 references.
References · 14
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 8,065
- 2024SimPO: Simple Preference Optimization with a Reference-Free Rewardcited by 963
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
- 2019Adaptation of Deep Bidirectional Multilingual Transformers for Russian Languagecited by 109
- 2019Humor Detection: A Transformer Gets the Last Laughcited by 46
- 2024A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedianscited by 29
- 2021Methods for Detoxification of Texts for the Russian Languagecited by 13
- 2024Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leapscited by 13
- 2024Humor Mechanics: Advancing Humor Generation with Multistep Reasoningcited by 8
2 more
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Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humorcited by 6
- 2026On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generationcited by 3
- 2025Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Modelscited by 1
- 2026HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillationcited by 1
- 2026"Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedycited by 0
- 2026HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation19 Mar 2026
- 2026"Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedy13 Feb 2026
- 2026On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation6 Feb 2026
- 2025Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Models21 Oct 2025
- 2025HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor23 Jan 2025