SOTAVerified

Humor Detection

Humor detection is the task of identifying comical or amusing elements.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 64 papers

TitleStatusHype
StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos—0
Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content—0
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
THInC: A Theory-Driven Framework for Computational Humor Detection—0
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification—0
AVR: Synergizing Foundation Models for Audio-Visual Humor Detection—0
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
SynthesizRR: Generating Diverse Datasets with Retrieval AugmentationCode1
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models—0
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language ModelsCode0
Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor DetectionCode0
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks—0
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection—0
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction ExpertsCode1
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models—0
The Naughtyformer: A Transformer Understands Offensive Humor—0
A Sentiment and Emotion Aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting—0
Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First ResultsCode0
Hybrid Multimodal Fusion for Humor Detection—0
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor—0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
A Dataset for Detecting Humor in Telugu Social Media TextCode0
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users—0
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ColBERT modelF1-score0.98—Unverified
2XLNet Large CasedF1-score0.92—Unverified
3Multinomial NBF1-score0.88—Unverified
4SVMF1-score0.87—Unverified
5XGBoostF1-score0.81—Unverified
6Decision TreeF1-score0.79—Unverified