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The growth of social media, characterized by its multimodal nature, has led to the emergence of diverse phenomena and challenges, which calls for an effective approach to uniformly solve automated tasks.
Unifying vision-and-language tasks via text generation
Jaemin Cho, Jie Lei, Hao Tan, and Mohit Bansal. 2021 · 1942
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Taxonomy of educational objectives; the classification of educational goals by a committee of college and university examiners. Handbook I: Cognitive Domain
Benjamin S. Bloom and David R. Krathwohl. 1956 · 1956
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Twitter sentiment classification using distant supervision
Alec Go, Richa Bhayani, and Lei Huang. 2009 · 2009
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Life in the network: The coming age of computational social science
David Lazer, Alex Pentland, L. Adamic, Sinan Aral, Albert-Laszlo Barabasi, Devon Brewer, Nicholas Christakis, Noshir Contractor, Jessica Fowler, and Myron Gutmann. 2009 · 2009
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Journalists, social media, and the use of humor on twitter
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Sentiment analysis on social media
Federico Neri, Carlo Aliprandi, Federico Capeci, Montserrat Cuadros, and Tomas By. 2012 · 2012
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From humor recognition to irony detection: The figurative language of social media
Antonio Reyes, Paolo Rosso, and Davide Buscaldi. 2012 · 2012
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Testing the etch-a-sketch hypothesis: a computational analysis of mitt romney’s ideological makeover during the 2012 primary vs. general elections
Justin H Gross, Brice Acree, Yanchuan Sim, and Noah A Smith. 2013 · 2013
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Digital footprints: Opportunities and challenges for online social research
Scott A. Golder and Michael W. Macy. 2014 · 2014
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Big data, digital media, and computational social science: Possibilities and perils
Dhavan V. Shah, Joseph N. Cappella, and W. Russell Neuman. 2015 · 2015
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Stance and sentiment in tweets
Saif M. Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. 2016 · 2016
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Toxic comment classification challenge
cjadams, Sorensen Jeffrey, Elliott Julia, Dixon Lucas, McDonald Mark, nithum, and Cukierski Will. 2017 · 2017
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A measurement study of hate speech in social media
Mainack Mondal, Leandro Araújo Silva, and Fabrício Benevenuto. 2017 · 2017
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Fake news detection on social media: A data mining perspective
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. 2017 · 2017
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Modeling empathy and distress in reaction to news stories
Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, and João Sedoc. 2018 · 2018
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Marc Keuschnigg, Niclas Lovsjö, and Peter Hedström. 2018 · 2018
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A large self-annotated corpus for sarcasm
Mikhail Khodak, Nikunj Saunshi, and Kiran Vodrahalli. 2018 · 2018
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Overview of the 6th author profiling task at pan 2018: Multimodal gender identification in twitter
Francisco Manuel Rangel Pardo, Paolo Rosso, Manuel Montes y Gómez, Martin Potthast, and Benno Stein. 2018 · 2018
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CARER: Contextualized affect representations for emotion recognition
Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, and Yi-Shin Chen. 2018 · 2018
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Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2018 · 2018
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SemEval-2018 task 3: Irony detection in English tweets
Cynthia Van Hee, Els Lefever, and Véronique Hoste. 2018 · 2018
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Automatically identifying complaints in social media
Daniel Preoţiuc-Pietro, Mihaela Gaman, and Nikolaos Aletras. 2019 · 2019
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Humor detection: A transformer gets the last laugh
Orion Weller and Kevin Seppi. 2019 · 2019
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SemEval-2019 task 6: Identifying and categorizing offensive language in social media (OffensEval)
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 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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Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020 · 2020
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Computational social science and sociology
Achim Edelmann, Tom Wolff, Danielle Montagne, and Christopher A. Bail. 2020 · 2020
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Facilitating the communication of politeness through fine-grained paraphrasing
Liye Fu, Susan Fussell, and Cristian Danescu-Niculescu-Mizil. 2020 · 2020
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Exploring hate speech detection in multimodal publications
Raul Gomez, Jaume Gibert, Lluis Gomez, and Dimosthenis Karatzas. 2020 · 2020
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SemEval-2020 task 7: Assessing humor in edited news headlines
Misinfo reaction frames: Reasoning about readers’ reactions to news headlines
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, and Yejin Choi. 2022 · 2022
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Understanding and detecting hateful content using contrastive learning
Felipe González-Pizarro and Savvas Zannettou. 2022 · 2022
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Mvptr: Multi-level semantic alignment for vision-language pre-training via multi-stage learning
Zejun Li, Zhihao Fan, Huaixiao Tou, Jingjing Chen, Zhongyu Wei, and Xuanjing Huang. 2022 · 2022
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le. 2022 · 2022
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Most users do not follow political elites on twitter; those who do show overwhelming preferences for ideological congruity
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Nabil Hossain, John Krumm, Michael Gamon, and Henry Kautz. 2020 · 2020
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Multimodal post attentive profiling for influencer marketing
Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, and Wei Wang. 2020 · 2020
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Computational social science: Obstacles and opportunities
David M. J. Lazer, Alex Pentland, Duncan J. Watts, Sinan Aral, Susan Athey, Noshir Contractor, Deen Freelon, Sandra Gonzalez-Bailon, Gary King, Helen Margetts, Alondra Nelson, Matthew J. Salganik, Markus Strohmaier, Alessandro Vespignani, and Claudia Wagner. 2020 · 2020
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Quantifying intimacy in language
Jiaxin Pei and David Jurgens. 2020 · 2020
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It takes two to lie: One to lie, and one to listen
Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, and Jordan Boyd-Graber. 2020 · 2020
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Automatically neutralizing subjective bias in text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, and Diyi Yang. 2020 · 2020
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Image-text multimodal emotion classification via multi-view attentional network
Xiaocui Yang, Shi Feng, Daling Wang, and Yifei Zhang. 2020 · 2020
Cited alongside, same era.
Magdalena Wojcieszak, Andreu Casas, Xudong Yu, Jonathan Nagler, and Joshua A. Tucker. 2022 · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al. 2022 · 2022
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Mover: Mask, over-generate and rank for hyperbole generation
Yunxiang Zhang and Xiaojun Wan. 2022 · 2022
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Disc-medllm: Bridging general large language models and real-world medical consultation
Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, and Zhongyu Wei. 2023 · 2023
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Disc-finllm: A chinese financial large language model based on multiple experts fine-tuning
Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, and Zhongyu Wei. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, and David Jurgens. 2023 · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi. 2023 · 2023
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023
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Eva: Exploring the limits of masked visual representation learning at scale
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao. 2023 · 2023
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2023 · 2023
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Valley: Video assistant with large language model enhanced ability
Ruipu Luo, Ziwang Zhao, Min Yang, Junwei Dong, Minghui Qiu, Pengcheng Lu, Tao Wang, and Zhongyu Wei. 2023 · 2023
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Gpt-4v (ision) as a social media analysis engine
Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, and Jiebo Luo. 2023 · 2023
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UPPAM: A unified pre-training architecture for political actor modeling based on language
Xinyi Mou, Zhongyu Wei, Qi Zhang, and Xuanjing Huang. 2023 · 2023
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Disc-lawllm: Fine-tuning large language models for intelligent legal services
Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, and Zhongyu Wei. 2023 · 2023
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Chatglm-6b fine-tuning for cultural and creative products advertising words
Xiyuan Zhang, Xinyue Zhang, and Ying Yu. 2023 · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny. 2023 · 2023
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Can large language models transform computational social science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2023 · 2023
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Unifying local and global knowledge: Empowering large language models as political experts with knowledge graphs
Xinyi Mou, Zejun Li, Hanjia Lyu, Jiebo Luo, and Zhongyu Wei. 2024 · 2024
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