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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 1 of 13 · 1–100 · ← Lysandre Debut

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  1. Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
  2. 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
  3. LoRA: Low-Rank Adaptation of Large Language ModelsarXiv:2106.09685Edward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,661 citations
  4. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  5. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterarXiv:1910.01108Victor Sanh, Lysandre Debut, Julien Chaumond, et al.2019 · 6,751 citations
  6. Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksarXiv:2005.11401Patrick Lewis, Ethan Perez, Aleksandra Piktus, et al.2020 · 6,256 citations
  7. Large language models are zero-shot reasonersConference on Neural Information Processing Systems (NeurIPS)Takeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,832 citations
  8. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  9. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  10. QLoRA: Efficient Finetuning of Quantized LLMsConference on Neural Information Processing Systems (NeurIPS)Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.2023 · 2,929 citations
  11. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  12. Measuring Mathematical Problem Solving With the MATH DatasetarXiv:2103.03874Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,395 citations
  13. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
  14. COMET: A Neural Framework for MT EvaluationRicardo Rei, Craig Stewart, Ana C Farinha, et al.2020 · 1,792 citations
  15. 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
  16. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  17. Qwen Technical ReportarXiv:2309.16609Jinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,669 citations
  18. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  19. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
  20. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  21. CamemBERT: a Tasty French Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.2019 · 1,269 citations
  22. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  23. DocVQA: A Dataset for VQA on Document ImagesarXiv:2007.00398Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 844 citations
  24. BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
  25. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
  26. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
  27. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  28. OCR-free Document Understanding TransformerLecture notes in computer scienceGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 584 citations
  29. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationarXiv:1912.02164Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 578 citations
  30. XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralizationarXiv:2003.11080Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.2020 · 558 citations
  31. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionarXiv:2301.07597Biyang Guo, Xin Zhang, Ziyuan Wang, et al.2023 · 555 citations
  32. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  33. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  34. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionarXiv:2303.05499Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.2023 · 472 citations
  35. MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringarXiv:2203.14371 · ACM Conference on Health, Inference, and Learning (CHIL) 2022Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2022 · 462 citations
  36. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  37. Masked Language Model ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.2020 · 447 citations
  38. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 443 citations
  39. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  40. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesarXiv:2005.04790Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 420 citations
  41. True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 412 citations
  42. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 406 citations
  43. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
  44. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 400 citations
  45. A Simple Language Model for Task-Oriented DialoguearXiv:2005.00796Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.2020 · 399 citations
  46. Aligning AI With Shared Human ValuesarXiv:2008.02275Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 395 citations

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