Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866914974795825152 |
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| author | Zhang, Bowen Fu, Xianghua Ding, Daijun Huang, Hu Dai, Genan Yin, Nan Li, Yangyang Jing, Liwen |
| author_facet | Zhang, Bowen Fu, Xianghua Ding, Daijun Huang, Hu Dai, Genan Yin, Nan Li, Yangyang Jing, Liwen |
| contents | Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, early deep neural networks, and pre-trained fine-tuning models. However, with the evolution of very large pre-trained language models (VLPLMs) like ChatGPT (GPT-3.5), traditional methods face deployment challenges. The parameter-free Chain-of-Thought (CoT) approach, not requiring backpropagation training, has emerged as a promising alternative. This paper examines CoT's effectiveness in stance detection tasks, demonstrating its superior accuracy and discussing associated challenges. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_03087 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media Zhang, Bowen Fu, Xianghua Ding, Daijun Huang, Hu Dai, Genan Yin, Nan Li, Yangyang Jing, Liwen Computation and Language Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, early deep neural networks, and pre-trained fine-tuning models. However, with the evolution of very large pre-trained language models (VLPLMs) like ChatGPT (GPT-3.5), traditional methods face deployment challenges. The parameter-free Chain-of-Thought (CoT) approach, not requiring backpropagation training, has emerged as a promising alternative. This paper examines CoT's effectiveness in stance detection tasks, demonstrating its superior accuracy and discussing associated challenges. |
| title | Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2304.03087 |