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Stance classification, the task of predicting the viewpoint of an author on a subject of interest, has long been a focal point of research in domains ranging from social science to machine learning.
Language models are few-shot learners
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Cu-gwu perspective at semeval-2016 task 6: Ideological stance detection in informal text. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) . 434–439
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Semeval-2016 task 6: Detecting stance in tweets. In Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016) . 31–41
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pkudblab at semeval-2016 task 6: A specific convolutional neural network system for effective stance detection. In Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016) . 384–388
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MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) . 458–463
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A dataset for multi-target stance detection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers . 551–557
Parinaz Sobhani, Diana Inkpen, and Xiaodan Zhu. 2017 · 2017
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All-in-one: Multi-task Learning for Rumour Verification. In Proceedings of the 27th International Conference on Computational Linguistics . 3402–3413
Elena Kochkina, Maria Liakata, and Arkaitz Zubiaga. 2018 · 2018
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Stance evolution and twitter interactions in an italian political debate. In International Conference on Applications of Natural Language to Information Systems . Springer, 15–27
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Fast transformer decoding: One write-head is all you need
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BLCU_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation. In Proceedings of the 13th International Workshop on Semantic Evaluation . Association for Computational Linguistics, Minneapolis, Minnesota, USA, 1090–1096
Ruoyao Yang, Wanying Xie, Chunhua Liu, and Dong Yu. 2019 · 2019
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Zero-shot stance detection: A dataset and model using generalized topic representations
Emily Allaway and Kathleen McKeown. 2020 · 2020
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Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 1715–1724
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, and Nigel Collier. 2020 · 2020
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Unsupervised user stance detection on Twitter. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 14. 141–152
Kareem Darwish, Peter Stefanov, Michaël Aupetit, and Preslav Nakov. 2020 · 2020
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COVIDLies: Detecting COVID-19 Misinformation on Social Media. In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, and Sameer Singh. 2020 · 2020
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Stance in replies and quotes (srq): A new dataset for learning stance in twitter conversations
Ramon Villa-Cox, Sumeet Kumar, Matthew Babcock, and Kathleen M Carley. 2020 · 2020
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Pretrained embeddings for stance detection with hierarchical capsule network on social media
Guangzhen Zhao and Peng Yang. 2020 · 2020
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Stance detection on social media: State of the art and trends
Abeer AlDayel and Walid Magdy. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Knowledge Enhanced Masked Language Model for Stance Detection. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 4725–4735
Kornraphop Kawintiranon and Lisa Singh. 2021 · 2021
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Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021
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Calibrate before use: Improving few-shot performance of language models. In International Conference on Machine Learning . PMLR, 12697–12706
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh. 2021 · 2021
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Kiana Kheiri and Hamid Karimi. 2023 · 2023
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Stance detection with collaborative role-infused llm-based agents
Xiaochong Lan, Chen Gao, Depeng Jin, and Yong Li. 2023 · 2023
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Stance Detection on Social Media with Background Knowledge. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 15703–15717
Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, and Ruifeng Xu. 2023 · 2023
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GPT-4 as a Twitter Data Annotator: Unraveling Its Performance on a Stance Classification Task
Chandreen Liyanage, Ravi Gokani, and Vijay Mago. 2023 · 2023
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Characterizing the role of bots’ in polarized stance on social media
Abeer Aldayel and Walid Magdy. 2022 · 2022
Cited alongside, same era.
Capturing stance dynamics in social media: open challenges and research directions
Rabab Alkhalifa and Arkaitz Zubiaga. 2022 · 2022
Cited alongside, same era.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2022
Cited alongside, same era.
Fine-tuning can distort pretrained features and underperform out-of-distribution
Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, and Percy Liang. 2022 · 2022
Cited alongside, same era.
Is my stance the same as your stance? A cross validation study of stance detection datasets
Lynnette Hui Xian Ng and Kathleen M Carley. 2022a · 2022
Cited alongside, same era.
Pro or Anti? a social influence model of online stance flipping
Lynnette Hui Xian Ng and Kathleen M Carley. 2022b · 2022
Cited alongside, same era.
STEM: unsupervised structural embedding for stance detection. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 11174–11182
Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, and Oren Tsur. 2022 · 2022
Cited alongside, same era.
Unifying language learning paradigms
Yi Tay, Mostafa Dehghani, Vinh Q Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, and Donald Metzler. 2022 · 2022
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Mark Mets, Andres Karjus, Indrek Ibrus, and Maximilian Schich. 2023 · 2023
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What is Prompt Engineering?
Sunil Ramlochan. 2023 · 2023
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Inside the Secret List of Websites that make AI like ChatGPT Sound Smart
Kevin Schaul, Szu Yu Chen, and Nitasha Tiku. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets. In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 17. 854–865
Apoorva Upadhyaya, Marco Fisichella, and Wolfgang Nejdl. 2023 · 2023
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Larger language models do in-context learning differently
Jerry Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, et al · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
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Evaluating instruction-tuned large language models on code comprehension and generation
Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, and Yiling Lou. 2023 · 2023
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A Logically Consistent Chain-of-Thought Approach for Stance Detection
Bowen Zhang, Daijun Ding, Liwen Jing, and Hu Huang. 2023a · 2023
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Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
Bowen Zhang, Xianghua Fu, Daijun Ding, Hu Huang, Yangyang Li, and Liwen Jing. 2023b · 2023
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DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Chong Zhang, Zhenkun Zhou, Xingyu Peng, and Ke Xu. 2023d · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
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GPT-4 Technical Report
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Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024. In Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)
Surendrabikram Thapa, Kritesh Rauniyar, Farhan Ahmad Jafri, Shuvam Shiwakoti, Hariram Veeramani, Raghav Jain, Guneet Singh Kohli, Ali Hürriyetoğlu, and Usman Naseem. 2024 · 2024
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UniLog: Automatic Logging via LLM and In-Context Learning. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering . 1–12
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, et al · 2024
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