RCLMuFN: Relational Context Learning and Multiplex Fusion Network for Multimodal Sarcasm Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Tongguan, Li, Junkai, Su, Guixin, Zhang, Yongcheng, Su, Dongyu, Hu, Yuxue, Sha, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Keyword-Oriented Multimodal Modeling for Euphemism Identification
by: Hu, Yuxue, et al.
Published: (2025)
by: Hu, Yuxue, et al.
Published: (2025)
Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Multi-View Incongruity Learning for Multimodal Sarcasm Detection
by: Guo, Diandian, et al.
Published: (2024)
by: Guo, Diandian, et al.
Published: (2024)
A Survey of Multimodal Sarcasm Detection
by: Farabi, Shafkat, et al.
Published: (2024)
by: Farabi, Shafkat, et al.
Published: (2024)
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
by: Qiu, Ziqi, et al.
Published: (2024)
by: Qiu, Ziqi, et al.
Published: (2024)
GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
by: Zhang, Shuguang, et al.
Published: (2026)
by: Zhang, Shuguang, et al.
Published: (2026)
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
by: Goel, Palaash, et al.
Published: (2025)
by: Goel, Palaash, et al.
Published: (2025)
Was that Sarcasm?: A Literature Survey on Sarcasm Detection
by: Bagga, Harleen Kaur, et al.
Published: (2024)
by: Bagga, Harleen Kaur, et al.
Published: (2024)
Teaching Sarcasm: Few-Shot Multimodal Sarcasm Detection via Distillation to a Parameter-Efficient Student
by: Jana, Soumyadeep, et al.
Published: (2025)
by: Jana, Soumyadeep, et al.
Published: (2025)
Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
by: Iskandardinata, Michael, et al.
Published: (2025)
by: Iskandardinata, Michael, et al.
Published: (2025)
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
by: Zhou, Jingxuan, et al.
Published: (2025)
by: Zhou, Jingxuan, et al.
Published: (2025)
Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects
by: Gao, Xiyuan, et al.
Published: (2025)
by: Gao, Xiyuan, et al.
Published: (2025)
Adapter-state Sharing CLIP for Parameter-efficient Multimodal Sarcasm Detection
by: Jana, Soumyadeep, et al.
Published: (2025)
by: Jana, Soumyadeep, et al.
Published: (2025)
KoCoSa: Korean Context-aware Sarcasm Detection Dataset
by: Kim, Yumin, et al.
Published: (2024)
by: Kim, Yumin, et al.
Published: (2024)
Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding
by: Li, Zhu, et al.
Published: (2025)
by: Li, Zhu, et al.
Published: (2025)
CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
by: Zhang, Junzhao, et al.
Published: (2026)
by: Zhang, Junzhao, et al.
Published: (2026)
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation
by: Gao, Xiyuan, et al.
Published: (2024)
by: Gao, Xiyuan, et al.
Published: (2024)
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models
by: Chen, Junjie, et al.
Published: (2025)
by: Chen, Junjie, et al.
Published: (2025)
Token-free Models for Sarcasm Detection
by: Mamtani, Sumit, et al.
Published: (2025)
by: Mamtani, Sumit, et al.
Published: (2025)
Dual Modality-Aware Gated Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
by: Jana, Soumyadeep, et al.
Published: (2025)
by: Jana, Soumyadeep, et al.
Published: (2025)
Sarcasm Detection Using Deep Convolutional Neural Networks: A Modular Deep Learning Framework
by: Zambre, Manas, et al.
Published: (2025)
by: Zambre, Manas, et al.
Published: (2025)
When Do "More Contexts" Help with Sarcasm Recognition?
by: Nimase, Ojas, et al.
Published: (2024)
by: Nimase, Ojas, et al.
Published: (2024)
Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection
by: Nkhata, Gibson, et al.
Published: (2025)
by: Nkhata, Gibson, et al.
Published: (2025)
Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm Detection
by: Jana, Soumyadeep, et al.
Published: (2025)
by: Jana, Soumyadeep, et al.
Published: (2025)
Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?
by: Yao, Ben, et al.
Published: (2024)
by: Yao, Ben, et al.
Published: (2024)
Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
by: Zhang, Yazhou, et al.
Published: (2024)
by: Zhang, Yazhou, et al.
Published: (2024)
PC-MNet: Dual-Level Congruity Modeling for Multimodal Sarcasm Detection via Polarity-Modulated Attention
by: Li, Maoheng, et al.
Published: (2026)
by: Li, Maoheng, et al.
Published: (2026)
URMF: Uncertainty-aware Robust Multimodal Fusion for Multimodal Sarcasm Detection
by: Wang, Zhenyu, et al.
Published: (2026)
by: Wang, Zhenyu, et al.
Published: (2026)
Generalizable Sarcasm Detection Is Just Around The Corner, Of Course!
by: Jang, Hyewon, et al.
Published: (2024)
by: Jang, Hyewon, et al.
Published: (2024)
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection
by: Joshi, Aditya, et al.
Published: (2017)
by: Joshi, Aditya, et al.
Published: (2017)
Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
by: Karmaker, Subrata
Published: (2025)
by: Karmaker, Subrata
Published: (2025)
MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in Video-LMs for Multimodal Sarcasm Detection
by: Saha, Anisha, et al.
Published: (2025)
by: Saha, Anisha, et al.
Published: (2025)
GRASP: Grounded CoT Reasoning with Dual-Stage Optimization for Multimodal Sarcasm Target Identification
by: Wan, Faxian, et al.
Published: (2026)
by: Wan, Faxian, et al.
Published: (2026)
Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection
by: Li, Zhu, et al.
Published: (2025)
by: Li, Zhu, et al.
Published: (2025)
CascadeNS: Confidence-Cascaded Neurosymbolic Model for Sarcasm Detection
by: Mane, Swapnil, et al.
Published: (2023)
by: Mane, Swapnil, et al.
Published: (2023)
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection
by: Lee, Joshua, et al.
Published: (2024)
by: Lee, Joshua, et al.
Published: (2024)
On Sarcasm Detection with OpenAI GPT-based Models
by: Gole, Montgomery, et al.
Published: (2023)
by: Gole, Montgomery, et al.
Published: (2023)
Sarcasm Detection in Tweets with BERT and GloVe Embeddings
by: Khatri, Akshay, et al.
Published: (2020)
by: Khatri, Akshay, et al.
Published: (2020)
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
Similar Items
-
Keyword-Oriented Multimodal Modeling for Euphemism Identification
by: Hu, Yuxue, et al.
Published: (2025) -
Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues
by: Chen, Wei, et al.
Published: (2025) -
Multi-View Incongruity Learning for Multimodal Sarcasm Detection
by: Guo, Diandian, et al.
Published: (2024) -
A Survey of Multimodal Sarcasm Detection
by: Farabi, Shafkat, et al.
Published: (2024) -
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
by: Qiu, Ziqi, et al.
Published: (2024)