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Stance detection is critical for understanding the underlying position or attitude expressed toward a topic.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Recognizing stances in ideological on-line debates
Swapna Somasundaran and Janyce Wiebe. 2010 · 2010
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Semeval-2016 task 6: Detecting stance in tweets
Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry. 2016 · 2016
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Explaining controversy on social media via stance summarization
Myungha Jang and James Allan. 2018 · 2018
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Stance detection with hierarchical attention network
Qingying Sun, Zhongqing Wang, Qiaoming Zhu, and Guodong Zhou. 2018 · 2018
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Stance detection in web and social media: A comparative study
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, and Saptarshi Ghosh. 2019 · 2019
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Zero-shot stance detection: A dataset and model using generalized topic representations
Emily Allaway and Kathleen R. McKeown. 2020 · 2020
Earlier work this paper cites.
Bertweet: A pre-trained language model for english tweets
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
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Autoprompt: Eliciting knowledge from language models with automatically generated prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020
Earlier work this paper cites.
Predicting the topical stance and political leaning of media using tweets
Peter Stefanov, Kareem Darwish, Atanas Atanasov, and Preslav Nakov. 2020 · 2020
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Integrating n-gram features into pre-trained model: A novel ensemble model for multi-target stance detection
Pengyuan Chen, Kai Ye, and Xiaohui Cui. 2021 · 2021
Earlier work this paper cites.
twt-wt: A dataset to assert the role of target entities for detecting stance of tweets
Ayush Kaushal, Avirup Saha, and Niloy Ganguly. 2021 · 2021
Cited alongside, same era.
P-stance: A large dataset for stance detection in political domain
Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, and Cornelia Caragea. 2021 · 2021
Cited alongside, same era.
Infusing knowledge from wikipedia to enhance stance detection
Zihao He, Negar Mokhberian, and Kristina Lerman. 2022 · 2022
Cited alongside, same era.
Jointcl: A joint contrastive learning framework for zero-shot stance detection
Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, and Ruifeng Xu. 2022 · 2022
Cited alongside, same era.
SSR: utilizing simplified stance reasoning process for robust stance detection
Jianhua Yuan, Yanyan Zhao, Yanyue Lu, and Bing Qin. 2022a · 2022
Cited alongside, same era.
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
Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, and Ruifeng Xu. 2023 · 2023
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Debiasing algorithm through model adaptation
Tomasz Limisiewicz, David Marecek, and Tomás Musil. 2023 · 2023
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning
Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, and Yue Zhang. 2023 · 2023
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"im not racist but…": Discovering bias in the internal knowledge of large language models
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Bowen Zhang, Daijun Ding, and Liwen Jing. 2022 · 2022
Cited alongside, same era.
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, and James Caverlee. 2023 · 2023
Cited alongside, same era.
Understanding the effect of model compression on social bias in large language models
Gustavo Gonçalves and Emma Strubell. 2023 · 2023
Cited alongside, same era.
Inducing political bias allows language models anticipate partisan reactions to controversies
Zihao He, Siyi Guo, Ashwin Rao, and Kristina Lerman. 2023 · 2023
Cited alongside, same era.
Knowledge-enhanced prompt-tuning for stance detection
Hu Huang, Bowen Zhang, Yangyang Li, Baoquan Zhang, Yuxi Sun, Chuyao Luo, and Cheng Peng. 2023 · 2023
Cited alongside, same era.
Navigating the ocean of biases: Political bias attribution in language models via causal structures
David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, and Zhijing Jin. 2023 · 2023
Cited alongside, same era.
Debiasing stance detection models with counterfactual reasoning and adversarial bias learning
Jianhua Yuan, Yanyan Zhao, and Bing Qin. 2022b
Cited in the paper.
Abel Salinas, Louis Penafiel, Robert McCormack, and Fred Morstatter. 2023 · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
Later among the works it cites.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023 · 2023
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Large language models are not robust multiple choice selectors
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, and Minlie Huang. 2023 · 2023
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Explore spurious correlations at the concept level in language models for text classification
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, and Furong Huang. 2023 · 2023
Later among the works it cites.
Enhancing zero-shot stance detection via targeted background knowledge
Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou, and Ruifeng Xu. 2022 · 2075
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