Papers by Jiecheng Zhang
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection (2025.acl-long)
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| Challenge: | Multi-modal sarcasm detection (MSD) identifies sarcasm and accurately understands users’ real attitudes from text-image pairs. |
| Approach: | They propose to use incongruity-aware tension field network to extract effective text-image feature pairs in fact and sentiment perspectives and construct a fact/sentiment tension field with discrepancy metrics to capture contextual tone and polarized inconcongruities. |
| Outcome: | The proposed method achieves state-of-the-art performance surpassing LLaVA1.5-7B with only 17.3M trainable parameters, demonstrating its optimal performance-efficiency in multi-modal sarcasm detection tasks. |