🧑‍🔬 Who cites Weichong Yin

143 citations of their works from 143 papers of our library (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← Weichong Yin

1. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
2. 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 · 1,615 citations
3. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 804 citations
4. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
5. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
6. 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 · 308 citations
7. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
8. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationInternational Workshop on Semantic Evaluation (SemEval)Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
9. Detecting Harmful Memes and Their TargetsFindings of the Association for Computational LinguisticsShraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.2021 · 171 citations
10. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
11. ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingarXiv:2210.06155Qiming Peng, Yinxu Pan, Wenjin Wang, et al.2022 · 40 citations
12. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationarXiv:2112.15283Han Zhang, Weichong Yin, Yewei Fang, et al.2021 · 33 citations
13. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
14. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
15. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
16. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
17. Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Wu, Zhenrong Zhang, Qikai Chang, et al.2026 · 11 citations
18. Understanding LLM Reasoning for Abstractive SummarizationFindings of the Association for Computational LinguisticsHaohan Yuan, Haopeng Zhang2026 · 11 citations
19. Reinforced Efficient Reasoning via Semantically Diverse ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Zhao, Zhaochun Ren, Jiahong Zou, et al.2026 · 9 citations
20. Dissecting Failure Dynamics in Large Language Model ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhu, Jian Zhang, Lixing Yu, et al.2026 · 6 citations
21. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zelin Tan, Hejia Geng, Xiaohang Yu, et al.2026 · 6 citations
22. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Wei, Liang Pang, Jiahao Liu, et al.2026 · 6 citations
23. Acquiring Linguistic Knowledge from Multimodal InputConference on Computational Natural Language Learning (CoNLL)Theodor Amariucai, Alexander Scott Warstadt2023 · 6 citations
24. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Wu, Yutong Xie, Zeyu Zhang, et al.2026 · 3 citations
25. From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for TibetanAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Yang, Leiyu Pan, Bojian Xiong, et al.2026 · 1 citation
26. Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information ExtractionFindings of the Association for Computational LinguisticsChong Zhang, Yixi Zhao, Yulu Xie, et al.2026 · 1 citation
27. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026

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