Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media Texts

The Robust Dual-Signal (RDS) Fusion framework introduces a hybrid neuro-symbolic architecture for zero-shot irony detection in social media texts, leveraging compressed Chain-of-Thought (CoT) reasoning without Supervised Fine-Tuning (SFT). It achieves 78.1% accuracy on the TweetEval test set and significantly reduces out-of-distribution hallucinations on the iSarcasm dataset, demonstrating a zero-shot Macro F1 score of 0.6726. This approach is relevant for practitioners as it offers a novel method to enhance LLMs' interpretative capabilities in detecting nuanced linguistic features like irony, potentially improving performance in real-world applications.