Humor Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (64 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• XGBoost: A Scalable Tree Boosting System
  9 Mar 2016 28 repositories listed Syntology ran 0 of 17 samples · 17 unverified
  In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges.
• XLNet: Generalized Autoregressive Pretraining for Language Understanding
  19 Jun 2019 27 repositories listed Syntology ran 10 of 24 samples · 14 unverified · 3 pointer-only (licence)
  With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.
• ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
  27 Apr 2020 4 repositories listed
  The proposed technical method initiates by separating sentences of the given text and utilizing the BERT model to generate embeddings for each one.
• Towards Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results
  28 Sep 2022 2 repositories listed
  In this context, we propose a novel multimodal architecture that yields the best overall results.
• MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
  7 May 2020 2 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  In this paper, we aim to learn effective modality representations to aid the process of fusion.
• Humor Detection: A Transformer Gets the Last Laugh
  31 Aug 2019 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 2 pointer-only (licence)
  These experiments show that this method outperforms all previous work done on these tasks, with an F-measure of 93.
• MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
  23 Sep 2024 1 repository listed
  We further compare the performance of MemeCLIP and zero-shot GPT-4 on the hate classification task.
• The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
  11 Jun 2024 1 repository listed
  The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge (MuSe-Perception), participants will predict…
• SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
  16 May 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  It is often desirable to distill the capabilities of large language models (LLMs) into smaller student models due to compute and memory constraints.
• Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
  23 Feb 2024 1 repository listed
  Humor is a fundamental facet of human cognition and interaction.
• Comment-aided Video-Language Alignment via Contrastive Pre-training for Short-form Video Humor Detection
  14 Feb 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  The growing importance of multi-modal humor detection within affective computing correlates with the expanding influence of short-form video sharing on social media platforms.
• MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
  16 Nov 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Advances in multimodal models have greatly improved how interactions relevant to various tasks are modeled.
• Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis
  5 Aug 2022 1 repository listed
  In this paper, we present our solutions for the Multimodal Sentiment Analysis Challenge (MuSe) 2022, which includes MuSe-Humor, MuSe-Reaction and MuSe-Stress Sub-challenges.
• The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress
  23 Jun 2022 1 repository listed
  For this year's challenge, we feature three datasets: (i) the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset that contains audio-visual recordings of German football coaches, labelled for the presence of…
• A Dataset for Detecting Humor in Telugu Social Media Text
  1 May 2022 1 repository listed
  Social media sites such as Twitter limit the number of characters used to express a thought in a tweet, leading to increased use of creative, humorous and confusing language in order to convey the message.
• DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating
  1 Aug 2021 1 repository listed
  This paper presents the DuluthNLP submission to Task 7 of the SemEval 2021 competition on Detecting and Rating Humor and Offense.
• On the Use of Emojis to Train Emotion Classifiers
  24 Feb 2019 1 repository listed
  Nonetheless, we experimentally show that training classifiers on cheap, large and possibly erroneous data annotated using this approach leads to more accurate results compared with training the same classifiers on the…
• Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"
  10 Jan 2019 1 repository listed
  Starting from the observation that satirical news headlines tend to resemble serious news headlines, we build and analyze a corpus of satirical headlines paired with nearly identical but serious headlines.
• A Crowd-Annotated Spanish Corpus for Humor Analysis
  2 Oct 2017 1 repository listed
  Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data.
• Is This a Joke? Detecting Humor in Spanish Tweets
  28 Mar 2017 1 repository listed
  While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.