🧑‍🔬 Who cites Chen Wu

120 citations of their works from 120 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Chen Wu

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
2. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
3. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
4. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
5. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 304 citations
6. E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTarXiv:1911.03681Nina Poerner, Ulli Waltinger, Hinrich Schutze2019 · 247 citations
7. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
8. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error CorrectionFindings of the Association for Computational LinguisticsShirong Ma, Yinghui Li, Rongyi Sun, et al.2022 · 59 citations
9. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
10. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement LearningFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xueyuan Lin, et al.2026 · 3 citations
11. Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent AdaptationFindings of the Association for Computational LinguisticsXuanbo Su, Yingfang Zhang, Hao Luo, et al.2026 · 2 citations
12. On Safety Risks in Experience-Driven Self-Evolving AgentsFindings of the Association for Computational LinguisticsWeixiang Zhao, Yichen Zhang, Yingshuo Wang, et al.2026 · 1 citation
13. UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Cuong Pham, Minh Nguyen, Minh Le, et al.2026 · 1 citation
14. ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking AgentsFindings of the Association for Computational LinguisticsYilun Yao, Shan Huang, Elsie Dai, et al.2026
15. CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured AnalysisResources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortiumJinyuan Xu, Tian Lan, Xintao Yu, et al.2026
16. Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language ModelsWorkshop on Linguistic Analysis for HealthCraig Myles, Patrick Schrempf, David Harris-Birtill2026
17. LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph RetrievalFindings of the Association for Computational LinguisticsHang Wang, Utkarsh Garg, Reza Davari, et al.2026
18. LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference AlignmentFindings of the Association for Computational LinguisticsChenji Lu, Zhuo Chen, Hui Zhao, et al.2026
19. NaturalGAIA: A Verifiable Benchmark and Hierarchical Framework for Long-Horizon GUI TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Zheng, Tianle Cui, Taoran Wang, et al.2026
20. Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AIFindings of the Association for Computational LinguisticsXingmeng Zhao, Tongnian Wang, Dan Schumacher, et al.2026

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