Fetching the paper…
Reading the bibliography…
Stance detection, a key task in natural language processing, determines an author's viewpoint based on textual analysis.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Aspect-based sentiment classification with aspect-specific graph convolutional networks
Chen Zhang, Qiuchi Li, and Dawei Song. 2019b · 1909
Earlier work this paper cites.
Stance detection on social media: State of the art and trends
Abeer AlDayel and Walid Magdy. 2020 · 2006
Earlier work this paper cites.
Cats rule and dogs drool!: Classifying stance in online debate
Pranav Anand, Marilyn Walker, Rob Abbott, Jean E. Fox Tree, Robeson Bowmani, and Michael Minor. 2011 · 2011
Earlier work this paper cites.
Amazon mechanical turk: A research tool for organizations and information systems scholars
Kevin Crowston. 2012 · 2012
Earlier work this paper cites.
That is your evidence?: Classifying stance in online political debate
Marilyn A Walker, Pranav Anand, Rob Abbott, Jean E Fox Tree, Craig Martell, and Joseph King. 2012 · 2012
Earlier work this paper cites.
Stance classification of ideological debates: Data, models, features, and constraints
Kazi Saidul Hasan and Vincent Ng. 2013 · 2013
Earlier work this paper cites.
Stance detection with bidirectional conditional encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, and Kalina Bontcheva. 2016 · 2016
Earlier work this paper cites.
SemEval-2016 task 6: Detecting stance in tweets
Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry. 2016 · 2016
Earlier work this paper cites.
Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu. 2016 · 2016
Earlier work this paper cites.
pkudblab at SemEval-2016 task 6 : A specific convolutional neural network system for effective stance detection
Wan Wei, Xiao Zhang, Xuqin Liu, Wei Chen, and Tengjiao Wang. 2016 · 2016
Earlier work this paper cites.
MITRE at SemEval-2016 task 6: Transfer learning for stance detection
Guido Zarrella and Amy Marsh. 2016 · 2016
Earlier work this paper cites.
Trump vs. hillary: What went viral during the 2016 us presidential election
Kareem Darwish, Walid Magdy, and Tahar Zanouda. 2017 · 2017
Earlier work this paper cites.
Stance classification with target-specific neural attention networks
Jiachen Du, Ruifeng Xu, Yulan He, and Lin Gui. 2017 · 2017
Earlier work this paper cites.
Stance and sentiment in tweets
Saif M Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. 2017 · 2017
Cited alongside, same era.
Topical stance detection for twitter: A two-phase lstm model using attention
Kuntal Dey, Ritvik Shrivastava, and Saroj Kaushik. 2018 · 2018
Cited alongside, same era.
Aspect level sentiment classification with attention-over-attention neural networks
Binxuan Huang, Yanglan Ou, and Kathleen M Carley. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Multi-task stance detection with sentiment and stance lexicons
Yingjie Li and Cornelia Caragea. 2019 · 2019
Cited alongside, same era.
Tweet stance detection using an attention based neural ensemble model
Umme Aymun Siddiqua, Abu Nowshed Chy, and Masaki Aono. 2019 · 2019
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Later among the works it cites.
Can we trust the evaluation on ChatGPT?
Rachith Aiyappa, Jisun An, Haewoon Kwak, and Yong-yeol Ahn. 2023 · 2023
Later among the works it cites.
A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, and Pascale Fung. 2023 · 2023
Later among the works it cites.
When do you need chain-of-thought prompting for chatgpt?
Jiuhai Chen, Lichang Chen, Heng Huang, and Tianyi Zhou. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Aspect-based sentiment classification with aspect-specific graph convolutional networks
Chen Zhang, Qiuchi Li, and Dawei Song. 2019a · 2019
Cited alongside, same era.
Stance detection: A survey
Dilek Küçük and Fazli Can. 2020 · 2020
Cited alongside, same era.
Stance detection in COVID-19 tweets
Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, and Cornelia Caragea. 2021 · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Knowledge enhanced masked language model for stance detection
Kornraphop Kawintiranon and Lisa Singh. 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.
Iain J. Cruickshank and Lynnette Hui Xian Ng. 2023 · 2023
Later among the works it cites.
Chain-of-thought embeddings for stance detection on social media
Joseph Gatto, Omar Sharif, and Sarah Masud Preum. 2023 · 2023
Later among the works it cites.
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
Later among the works it cites.
Stance detection with collaborative role-infused llm-based agents
Xiaochong Lan, Chen Gao, Depeng Jin, and Yong Li. 2023 · 2023
Later among the works it cites.
Is chatgpt a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
Do large language models know what they don’t know?
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, and Xuanjing Huang. 2023 · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
Later among the works it cites.