Chain-of-Thought Embeddings for Stance Detection on Social Media (2023.findings-emnlp)
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| Challenge: | Stance detection on social media platforms like Twitter is challenging for Large Language Models (LLMs), as emerging slang and colloquial language in online conversations often contain deeply implicit stance labels. |
| Approach: | They propose to embed COT reasonings into a traditional RoBERTa-based stance detection pipeline by embedding COT stance reasonings and integrating them into slang-based models. |
| Outcome: | The proposed model achieves SOTA performance on multiple stance detection datasets collected from social media. |
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