Elamur Research⌕
☰
home / authors / Hua Ren Wu / cited by / page 2

Who cites Hua Ren Wu

3,374 citations of their works from 2,904 papers of our library (of the 149,439 whose bibliographies we read) · 436 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Hua Ren Wu

1 2 3 4 5

  1. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  2. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  3. Copied Monolingual Data Improves Low-Resource Neural Machine TranslationConference on Machine Translation (WMT)Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield2017 · 298 citations
  4. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations
  5. Large Dual Encoders Are Generalizable RetrieversarXiv:2112.07899Jianmo Ni, Chen Qu, Jing Lu, et al.2021 · 280 citations
  6. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTarXiv:2302.10205Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han2023 · 276 citations
  7. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 265 citations
  8. Survey of Low-Resource Machine TranslationComputational LinguisticsBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  9. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  10. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationInternational Workshop on Semantic Evaluation (SemEval)Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
  11. Gradient Surgery for Multi-Task LearningarXiv:2001.06782Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.2020 · 233 citations
  12. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
  13. Correcting Length Bias in Neural Machine TranslationarXiv:1808.10006Kenton Murray, David Chiang2018 · 221 citations
  14. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersarXiv:2404.05961Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 213 citations
  15. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionarXiv:2304.08085Xiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
  16. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  17. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  18. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  19. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  20. Seamless: Multilingual Expressive and Streaming Speech TranslationarXiv:2312.05187Seamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 172 citations
  21. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  22. Detecting Harmful Memes and Their TargetsFindings of the Association for Computational LinguisticsShraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.2021 · 171 citations
  23. Promptagator: Few-shot Dense Retrieval From 8 ExamplesarXiv:2209.11755Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 170 citations
  24. Target-Guided Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.2019 · 166 citations
  25. Style Transfer as Unsupervised Machine TranslationarXiv:1808.07894Zhirui Zhang, Shuo Ren, Shujie Liu, et al.2018 · 165 citations
  26. PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationarXiv:2104.12369Wei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 161 citations
  27. A Span-Extraction Dataset for Chinese Machine Reading ComprehensionarXiv:1810.07366 · EMNLP 2019 5886-5891Yiming Cui, Ting Liu, Wanxiang Che, et al.2018 · 160 citations
  28. CLIPort: What and Where Pathways for Robotic ManipulationarXiv:2109.12098Mohit Shridhar, Lucas Manuelli, Dieter Fox2021 · 159 citations
  29. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
  30. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  31. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGNInternational Conference on Spoken Language Translation (IWSLT)Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.2023 · 152 citations
  32. ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene GrapharXiv:2006.16934Fei Yu, Jiji Tang, Weichong Yin, et al.2020 · 152 citations
  33. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetarXiv:2303.03915Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 150 citations
  34. A Review on Language Models as Knowledge BasesarXiv:2204.06031Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, et al.2022 · 150 citations
  35. CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
  36. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
  37. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations

1 2 3 4 5

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hua-ren-wu/cited-by/page/2/