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Code for 《Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection》.

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AMIF

This is the official implementation of the paper "Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection", which is accepted by COLING 2025. (https://aclanthology.org/2025.coling-main.26/)

Environment Requirements

The experiments were conducted on a single GeForce RTX 3090 GPU with 24GB memory.

  • Python 3.8.17
  • PyTorch 1.7.1
  • CUDA 11.2

To run the code, you need to install the requirements:

pip install -r requirements.txt

Run Code

At last, you can run the below code:

bash run.sh

Papers for the Project & How to Cite

If you use or extend our work, please cite the paper as follows:

@inproceedings{li2025ambiguity,
  title={Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection},
  author={Li, Kuntao and Chen, Yifan and Wu, Qiaofeng and Mai, Weixing and Li, Fenghuan and Xue, Yun},
  booktitle={Proceedings of the 31st International Conference on Computational Linguistics},
  pages={380--391},
  year={2025}
}

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Code for 《Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection》.

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