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Who cites «RoBERTa: A Robustly Optimized BERT Pretraining Approach»

9,837 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1406 with a page here, the most cited first · page 3 of 15 · 201–300 · ← back to «RoBERTa: A Robustly Optimized BERT Pretraining Approach»

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  1. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 333 citations
  2. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  3. GraphCodeBERT: Pre-training Code Representations with Data FlowarXiv:2009.08366Daya Guo, Shuo Ren, Shuai Lu, et al.2021 · 332 citations
  4. TimeLMs: Diachronic Language Models from TwitterAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.2022 · 331 citations
  5. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  6. A Transformer-based approach to Irony and Sarcasm detectionNeural Computing and ApplicationsRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
  7. S2ORC: The Semantic Scholar Open Research CorpusarXiv:1911.02782Kyle Lo, Lucy Lu Wang, Mark Neumann, et al.2019 · 312 citations
  8. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
  9. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  10. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  11. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  12. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
  13. An Explanation of In-context Learning as Implicit Bayesian InferencearXiv:2111.02080Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 286 citations
  14. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  15. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringarXiv:1911.10470Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 280 citations
  16. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
  17. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  18. CUAD: An Expert-Annotated NLP Dataset for Legal Contract ReviewarXiv:2103.06268Dan Hendrycks, Collin Burns, Anya Chen, et al.2021 · 268 citations
  19. 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
  20. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScalearXiv:2201.05596Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 261 citations
  21. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglisharXiv:2110.00976Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 258 citations
  22. Multilingual is not enough: BERT for FinnisharXiv:1912.07076Antti Virtanen, Jenna Kanerva, Rami Ilo, et al.2019 · 258 citations
  23. The Curse of Recursion: Training on Generated Data Makes Models ForgetarXiv:2305.17493Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 255 citations
  24. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersarXiv:2102.01454Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 251 citations
  25. E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTarXiv:1911.03681Nina Poerner, Ulli Waltinger, Hinrich Schutze2019 · 247 citations
  26. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 244 citations
  27. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  28. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations

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