4 papers
Teaching Sarcasm: Few-Shot Multimodal Sarcasm Detection via Distillation to a Parameter-Efficient Student
Soumyadeep Jana, Sanasam Ranbir Singh
Multimodal sarcasm detection is challenging, especially in low-resource settings where subtle image-text contradictions are hard to learn due to scarce annotated data, which hinder…
Dual Modality-Aware Gated Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
Soumyadeep Jana, Abhrajyoti Kundu, Sanasam Ranbir Singh
The widespread use of multimodal content on social media has heightened the need for effective sarcasm detection to improve opinion mining. However, existing models rely heavily on…
Adapter-state Sharing CLIP for Parameter-efficient Multimodal Sarcasm Detection
Soumyadeep Jana, Sahil Danayak, Sanasam Ranbir Singh
The growing prevalence of multimodal image-text sarcasm on social media poses challenges for opinion mining systems. Existing approaches rely on full fine-tuning of large models, m…
Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm Detection
Soumyadeep Jana, Abhrajyoti Kundu, Sanasam Ranbir Singh
Multimodal sarcasm detection has attracted growing interest due to the rise of multimedia posts on social media. Understanding sarcastic image-text posts often requires external co…