🧑‍🔬 Who cites Ting Chen

949 citations of their works from 949 papers of our library (of the 141,840 whose bibliographies we read) · 62 with a page here, the most cited first · ← Ting Chen

1. An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalearXiv:2010.11929Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al.2020 · 23,273 citations
   Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,151 citations
2. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,328 citations
   Emerging Properties in Self-Supervised Vision TransformersIEEE/CVF International Conference on Computer Vision (ICCV)Mathilde Caron, Hugo Touvron, Ishan Misra, et al.2021 · 5,912 citations
   SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,922 citations
   Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,558 citations
   Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,537 citations
   Sigmoid Loss for Language Image Pre-TrainingIEEE/CVF International Conference on Computer Vision (ICCV)Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al.2023 · 1,427 citations
3. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,426 citations
   wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsConference on Neural Information Processing Systems (NeurIPS)Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,366 citations
   ImageBind: One Embedding Space To Bind Them AllIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 943 citations
4. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
5. Unsupervised Dense Information Retrieval with Contrastive LearningarXiv:2112.09118Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 824 citations
   XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleInterspeechArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 801 citations
6. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 768 citations
7. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalarXiv:2007.00808Lee Xiong, Chenyan Xiong, Ye Li, et al.2020 · 683 citations
   ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanmeng Yan, Rumei Li, Sirui Wang, et al.2021 · 648 citations
8. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
   DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 515 citations
9. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 469 citations
10. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 455 citations
11. CogView: Mastering Text-to-Image Generation via TransformersarXiv:2105.13290Ming Ding, Zhuoyi Yang, Wenyi Hong, et al.2021 · 452 citations
    BRIO: Bringing Order to Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 358 citations
    SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
    Unsupervised Corpus Aware Language Model Pre-training for Dense Passage RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Jamie Callan2022 · 328 citations
12. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 319 citations
    UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 299 citations
    Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionShengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.2024 · 297 citations
    HuatuoGPT, Towards Taming Language Model to Be a DoctorFindings of the Association for Computational LinguisticsHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 282 citations
13. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
14. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingarXiv:2007.07834Zewen Chi, Li Dong, Furu Wei, et al.2020 · 271 citations
    DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.2022 · 269 citations
    CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 258 citations
    Contrastive Learning for Many-to-many Multilingual Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Pan, Mingxuan Wang, Liwei Wu, et al.2021 · 256 citations
    MedDialog: Large-scale Medical Dialogue DatasetsConference on Empirical Methods in Natural Language Processing (EMNLP)Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.2020 · 247 citations
    Supporting Clustering with Contrastive LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.2021 · 239 citations
    Self-Guided Contrastive Learning for BERT Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Taeuk Kim, Kang Min Yoo, Sang-goo Lee2021 · 234 citations
    CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.2022 · 233 citations
    Hurdles to Progress in Long-form Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 229 citations
    Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Findings of the Association for Computational LinguisticsYubo Ma, Yixin Cao, Yong Hong, et al.2023 · 211 citations
15. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationarXiv:2401.08417Haoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 207 citations
16. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
17. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
    CLEVE: Contrastive Pre-training for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xiaozhi Wang, Xu Han, et al.2021 · 155 citations
    CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue DatasetTransactions of the Association for Computational Linguistics (TACL)Qi Zhu, Kaili Huang, Zheng Zhang, et al.2020 · 146 citations
    RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderConference on Empirical Methods in Natural Language Processing (EMNLP)Shitao Xiao, Zheng Liu, Yingxia Shao, et al.2022 · 145 citations
    Scaling Deep Contrastive Learning Batch Size under Memory Limited SetupWorkshop on Representation Learning for NLPLuyu Gao, Yunyi Zhang, Jiawei Han, et al.2021 · 130 citations
18. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 128 citations
    How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalFindings of the Association for Computational LinguisticsSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 115 citations
    End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.2021 · 115 citations
    Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 103 citations
    FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
19. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
    Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense RelationsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanqiu Long, Bonnie Webber2022 · 43 citations
    Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Liu, Michael Strube2023 · 31 citations
    Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionFindings of the Association for Computational LinguisticsYuxin Jiang, Linhan Zhang, Wei Wang2023 · 28 citations
    stce at SemEval-2022 Task 6: Sarcasm Detection in English TweetsInternational Workshop on Semantic Evaluation (SemEval)Mengfei Yuan, Zhou Mengyuan, Lianxin Jiang, et al.2022 · 20 citations
    AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering ApplicationsLanguage Resources and Evaluation Conference (LREC)Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, et al.2026
    Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal ClassificationLanguage Resources and Evaluation Conference (LREC)Felix Wernlein, Abhik Jana, Sandipan Sikdar2026
    HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style TransferWorkshop on NLP for Languages Using Arabic ScriptDuy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.2026
    Roles of Predictability and Acoustic Distance in Sound Discrimination via Contrastive LearningSociety for Computation in Linguistics (SCiL)Shuhao Zhang, Youngah Do2026
    Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026

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