ProSarc detects sarcasm via temporal prosodic incongruity using dual encoders (Global Emotion and Temporal Prosody with BiLSTM+attention) and an incongruity analyzer, reporting F1=75.3 on MUStARD++, 62.9 on PodSarc, and 65.6 on MuSaG.
ACM Computing Surveys 50(5):1--22
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Fine-tuned RoBERTa achieves 0.62 macro-F1 on 900 Reddit comments, outperforming best zero-shot LLM at 0.50, with largest gap on detecting belief propagation.
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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit
Fine-tuned RoBERTa achieves 0.62 macro-F1 on 900 Reddit comments, outperforming best zero-shot LLM at 0.50, with largest gap on detecting belief propagation.