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Who cites Lysandre Debut

10,234 citations of their works from 9,402 papers of our library (of the 149,439 whose bibliographies we read) · 1,291 with a page here, the most cited first · page 3 of 13 · 201–300 · ← Lysandre Debut

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  1. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.2020 · 239 citations
  2. TweepFake: about Detecting Deepfake TweetsPLoS ONETiziano Fagni, Fabrizio Falchi, Margherita Gambini, et al.2020 · 234 citations
  3. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
  4. Generating Fact Checking ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 220 citations
  5. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 213 citations
  6. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
  7. mGPT: Few-Shot Learners Go MultilingualarXiv:2204.07580Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022 · 203 citations
  8. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsarXiv:2304.05302Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 201 citations
  9. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  10. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
  11. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
  12. Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsarXiv:2104.04670Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.2021 · 195 citations
  13. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
  14. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 188 citations
  15. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
  16. Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainFindings of the Association for Computational LinguisticsBernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.2022 · 180 citations
  17. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 174 citations
  18. PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsarXiv:2202.01279Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022 · 174 citations
  19. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  20. AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning ServingOSDI 2023Zhuohan Li, Lianmin Zheng, Yinmin Zhong, et al.2023 · 170 citations

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