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Social media platforms are hubs for multimodal information exchange, encompassing text, images, and videos, making it challenging for machines to comprehend the information or emotions associated with interactions in online spaces.
Roberta: A robustly optimized bert pretraining approach
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Nltk: the natural language toolkit
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Bleu: a method for automatic evaluation of machine translation
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The significance of recall in automatic metrics for mt evaluation
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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N-gram similarity and distance
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Visual news: Benchmark and challenges in news image captioning
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The sense of humor: Explorations of a personality characteristic , volume 3
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Perceptions of profanity: How race, gender, and expletive choice affect perceived offensiveness
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Truth is a lie: Crowd truth and the seven myths of human annotation
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Multimodal depression detection: fusion analysis of paralinguistic, head pose and eye gaze behaviors
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Are you a racist or am i seeing things? annotator influence on hate speech detection on twitter
Zeerak Waseem. 2016 · 2016
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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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The spread of true and false news online
Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018 · 2018
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On the origins of memes by means of fringe web communities
Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. 2018 · 2018
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Identifying and measuring annotator bias based on annotators’ demographic characteristics
Hala Al Kuwatly, Maximilian Wich, and Georg Groh. 2020 · 2020
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Dynamics of Attention and Public Opinion in Social Media
Emilio Ferrara. 2020 · 2020
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2020
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The hateful memes challenge: Detecting hate speech in multimodal memes
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, and Davide Testuggine. 2020 · 2020
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Semeval-2020 task 8: Memotion analysis-the visuo-lingual metaphor!
Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas Pykl, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, and Björn Gambäck. 2020 · 2020
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Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020 · 2020
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‘# youcantalk’: A multimodal discourse analysis of suicide prevention and peer support in the australian beyondblue platform
Maria Grazia Sindoni. 2020 · 2020
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Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, and Ming Zhou. 2020 · 2020
Yarn: Efficient context window extension of large language models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan, and Enrico Shippole. 2023 · 2023
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Attention sorting combats recency bias in long context language models
Alexander Peysakhovich and Adam Lerer. 2023 · 2023
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Retrieval-augmented image captioning
Rita Ramos, Desmond Elliott, and Bruno Martins. 2023 · 2023
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A multi-dimensional study on bias in vision-language models
Gabriele Ruggeri and Debora Nozza. 2023 · 2023
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Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise?
Jaromir Savelka, Kevin D Ashley, Morgan A Gray, Hannes Westermann, and Huihui Xu. 2023 · 2023
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Racism is a virus: Anti-asian hate and counterspeech in social media during the covid-19 crisis
Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, and Srijan Kumar. 2021 · 2021
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Ai and the everything in the whole wide world benchmark
Inioluwa Deborah Raji, Emily Denton, Emily M Bender, Alex Hanna, and Amandalynne Paullada. 2021 · 2021
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Towards fine-grained reasoning for fake news detection
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, and Xing Xie. 2022 · 2022
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Curriculum contrastive learning for fake news detection
Jiachen Ma, Yong Liu, Meng Liu, and Meng Han. 2022 · 2022
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Reinforcement subgraph reasoning for fake news detection
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, and Xing Xie. 2022 · 2022
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Openflamingo: An open-source framework for training large autoregressive vision-language models
Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, et al. 2023 · 2023
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Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Dallas Card, and David Jurgens. 2023 · 2023
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Aligning with whom? large language models have gender and racial biases in subjective nlp tasks
Huaman Sun, Jiaxin Pei, Minje Choi, and David Jurgens. 2023 · 2023
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Abspyramid: Benchmarking the abstraction ability of language models with a unified entailment graph
Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, and Yangqiu Song. 2023 · 2023
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Large language models can be good privacy protection learners
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, et al. 2023 · 2023
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Multi-modal transformer for fake news detection
Pingping Yang, Jiachen Ma, Yong Liu, and Meng Liu. 2023 · 2023
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Mm-vet: Evaluating large multimodal models for integrated capabilities
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, and Lijuan Wang. 2023 · 2023
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Ipdreamer: Appearance-controllable 3d object generation with image prompts
Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, and Baochang Zhang. 2023 · 2023
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Fedpetuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models
Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, and Zenglin Xu. 2023c · 2023
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Competeai: Understanding the competition behaviors in large language model-based agents
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, and Xing Xie. 2023 · 2023
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Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, and Jaeboum Kim. 2023 · 2023
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Tilfa: A unified framework for text, image, and layout fusion in argument mining
Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y Wong, and Simon See. 2023 · 2023
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Multiple distresses detection for asphalt pavement using improved you only look once algorithm based on convolutional neural network
Han-Cheng Dan, Peng Yan, Jiawei Tan, Yinchao Zhou, and Bingjie Lu. 2024 · 2024
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Mitigating catastrophic forgetting in large language models with self-synthesized rehearsal
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Most popular social networks worldwide as of january 2024, ranked by number of monthly active users
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Can large language model agents simulate human trust behaviors?
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Large language models can learn temporal reasoning
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Can llms reason in the wild with programs?
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Investigating the catastrophic forgetting in multimodal large language model fine-tuning
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