🧑‍🔬 Who cites Thanh Vu

347 citations of their works from 333 papers of our library (of the 141,840 whose bibliographies we read) · 30 with a page here, the most cited first · ← Thanh Vu

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
BERTweet: A pre-trained language model for English TweetsConference on Empirical Methods in Natural Language Processing (EMNLP)Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen2020 · 1,142 citations
1. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
   SemEval-2018 Task 3: Irony Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Cynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
   TimeLMs: Diachronic Language Models from TwitterAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.2022 · 331 citations
   XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and BeyondLanguage Resources and Evaluation Conference (LREC)Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados2022 · 271 citations
   Automated Concatenation of Embeddings for Structured PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Wang, Yong Jiang, Nguyen Bach, et al.2021 · 206 citations
   Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Wang, Yong Jiang, Nguyen Bach, et al.2021 · 205 citations
   SemEval-2023 Task 10: Explainable Detection of Online SexismInternational Workshop on Semantic Evaluation (SemEval)Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
   SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and OffenseInternational Workshop on Semantic Evaluation (SemEval)J. A. Meaney, Steven Wilson, Luis Chiruzzo, et al.2021 · 141 citations
   Infusing Knowledge from Wikipedia to Enhance Stance DetectionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisZihao He, Negar Mokhberian, Kristina Lerman2022 · 72 citations
   Stance Detection on Social Media with Background KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Ang Li, Bin Liang, Jingqian Zhao, et al.2023 · 58 citations
   Target-Aware Data Augmentation for Stance DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yingjie Li, Cornelia Caragea2021 · 56 citations
   Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yingjie Li, Chenye Zhao, Cornelia Caragea2021 · 39 citations
   A Multi-Task Learning Framework for Multi-Target Stance DetectionFindings of the Association for Computational LinguisticsYingjie Li, Cornelia Caragea2021 · 31 citations
   A New Direction in Stance Detection: Target-Stance Extraction in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yingjie Li, Krishna Garg, Cornelia Caragea2023 · 25 citations
   Guiding Computational Stance Detection with Expanded Stance Triangle FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyuan Liu, Yong Keong Yap, Hai Leong Chieu, et al.2023 · 17 citations
   Distilling Calibrated Knowledge for Stance DetectionFindings of the Association for Computational LinguisticsYingjie Li, Cornelia Caragea2023 · 13 citations
   Can Large Language Models Address Open-Target Stance Detection?Findings of the Association for Computational LinguisticsAbu Ubaida Akash, Ahmed Fahmy, Amine Trabelsi2025 · 12 citations
   Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data AugmentationInternational Workshop on Semantic Evaluation (SemEval)Mosab Shaheen, Shubham Kumar Nigam2022 · 10 citations
2. Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data AugmentationarXiv:2203.04111Shubham Kumar Nigam, Mosab Shaheen2022 · 5 citations
3. Stanceosaurus: Classifying Stance Towards Multilingual MisinformationarXiv:2210.15954Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter2022 · 5 citations
4. IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim DetectionarXiv:2408.01118Peter R\oysland Aarnes, Vinay Setty, Petra Galuščakova2024 · 4 citations
   GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type IdentificationInternational Workshop on Semantic Evaluation (SemEval)Diksha Krishnan, Jerin Mahibha C, Thenmozhi Durairaj2022 · 4 citations
   Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated DatasetWorkshop on Natural Language Processing and Computational Social Science (NLP+CSS)Jordan Painter, Helen Treharne, Diptesh Kanojia2022 · 4 citations
   Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media DataWorkshop on Noisy User-generated TextMarcus Vielsted, Nikolaj Wallenius, Rob van der Goot2022 · 3 citations
   Tackling Irony Detection using Ensemble ClassifiersLanguage Resources and Evaluation Conference (LREC)Christoph Turban, Udo Kruschwitz2022 · 1 citation
   Multilingual Target-Stance ExtractionLanguage Resources and Evaluation Conference (LREC)Ethan Leigh Mines, Bonnie J. Dorr2026
5. Not-NUTs at W-NUT 2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English TweetsarXiv:2009.06372Thai Quoc Hoang, Phuong Thu Vu2020
6. TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English TweetsarXiv:2008.12854Anh Tuan Nguyen2020

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