--- title: "Who cites Chen Wu — 120 papers of our library" description: "120 papers of the Elamur Research library cite the works of Chen Wu, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/chen-wu/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chen-wu/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Chen Wu](https://md.research.elamur.ai/free/en/authors/chen-wu/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/chen-wu/) 1. [**Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer arXiv:1910.10683**Colin Raffel, Noam Shazeer, Adam Roberts, et al.*2019 · 11,325 citations*](https://md.research.elamur.ai/free/en/papers/raffel-2019-exploring-limits-transfer-learning-unified/) 2. [**ALBERT: A Lite BERT for Self-supervised Learning of Language Representations arXiv:1909.11942**Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.*2019 · 2,806 citations*](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/) 3. [**DeBERTa: Decoding-enhanced BERT with Disentangled Attention arXiv:2006.03654**Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 1,828 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/) 4. [**Pre-trained Models for Natural Language Processing: A Survey arXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,759 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/) 5. **[SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoming Jiang, Pengcheng He, Weizhu Chen, et al.*2020 · 304 citations* 6. [**E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT arXiv:1911.03681**Nina Poerner, Ulli Waltinger, Hinrich Schutze*2019 · 247 citations*](https://md.research.elamur.ai/free/en/papers/poerner-2019-e-bert-efficient-yet-effective/) 7. [**COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining arXiv:2102.08473**Yu Meng, Chenyan Xiong, Payal Bajaj, et al.*2021 · 198 citations*](https://md.research.elamur.ai/free/en/papers/meng-2021-coco-lm-correcting-contrasting-text/) 8. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shirong 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 Intelligence arXiv:2507.21046**Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/) 10. **[Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xueyuan Lin, et al.*2026 · 3 citations* 11. **[Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation](https://md.research.elamur.ai/free/en/papers/su-2026-mistake-notebook-learning-batch-clustered/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuanbo Su, Yingfang Zhang, Hao Luo, et al.*2026 · 2 citations* 12. **[On Safety Risks in Experience-Driven Self-Evolving Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-safety-risks-experience-driven-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weixiang 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 Detection](https://md.research.elamur.ai/free/en/papers/pham-2026-uit-ammc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/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 Agents](https://md.research.elamur.ai/free/en/papers/yao-2026-arc-active-reflection-driven-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yilun Yao, Shan Huang, Elsie Dai, et al.*2026* 15. **[CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis](https://md.research.elamur.ai/free/en/papers/xu-2026-cnsocialdepress-chinese-social-media-dataset/) [Resources 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 consortium](https://md.research.elamur.ai/free/en/venues/rapid/)**Jinyuan Xu, Tian Lan, Xintao Yu, et al.*2026* 16. **[Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models](https://md.research.elamur.ai/free/en/papers/myles-2026-importance-prompt-optimisation-error-detection/) [Workshop on Linguistic Analysis for Health](https://md.research.elamur.ai/free/en/venues/healing/)**Craig Myles, Patrick Schrempf, David Harris-Birtill*2026* 17. **[LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2026-ledger-scaling-agentic-document-editing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Wang, Utkarsh Garg, Reza Davari, et al.*2026* 18. **[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenji Lu, Zhuo Chen, Hui Zhao, et al.*2026* 19. **[NaturalGAIA: A Verifiable Benchmark and Hierarchical Framework for Long-Horizon GUI Tasks](https://md.research.elamur.ai/free/en/papers/zheng-2026-naturalgaia-verifiable-benchmark-hierarchical-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihan Zheng, Tianle Cui, Taoran Wang, et al.*2026* 20. **[Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI](https://md.research.elamur.ai/free/en/papers/zhao-2026-telling-speculative-stories-help-humans/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingmeng Zhao, Tongnian Wang, Dan Schumacher, et al.*2026* 100 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/chen-wu/) — Chen Wu