🧑‍🔬 Who cites Greg Diamos

428 citations of their works from 388 papers of our library (of the 140,884 whose bibliographies we read) · 53 with a page here, the most cited first · ← Greg Diamos

1. Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 10,782 citations
2. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerColin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 7,433 citations
4. LLaMA: Open and Efficient Foundation Language ModelsHugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 5,609 citations
5. mixup: Beyond Empirical Risk MinimizationHongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,803 citations
6. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel S. Park, William Chan, Yu Zhang, et al.2019 · 3,802 citations
7. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
8. Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,497 citations
9. Deep Speech 2: End-to-End Speech Recognition in English and MandarinDario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,302 citations
10. Unsupervised Data Augmentation for Consistency TrainingQizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,837 citations
11. Scaling Laws for Neural Language ModelsJared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 1,814 citations
12. Attention-Based Models for Speech RecognitionJan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,776 citations
13. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
14. Layer NormalizationJimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,587 citations
15. Reproducible scaling laws for contrastive language-image learningMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 750 citations
16. Common Voice: A Massively-Multilingual Speech CorpusRosana Ardila, Megan Branson, Kelly Davis, et al.2019 · 733 citations
17. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsPhilippe Tillet, H. T. Kung, David Cox2019 · 728 citations
18. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesNaveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 555 citations
19. Deep Learning Scaling is Predictable, EmpiricallyJoel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 497 citations
20. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
21. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
22. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
23. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
24. SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationXinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 287 citations
25. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
26. Generative Language Modeling for Automated Theorem ProvingStanislas Polu, Ilya Sutskever2020 · 235 citations
27. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
28. Concrete Problems in AI SafetyDario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 198 citations
29. A Dataset for Multi-Target Stance DetectionParinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
30. The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer2022 · 119 citations
31. Scaling Laws for Autoregressive Generative ModelingTom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 115 citations
32. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsYangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 114 citations
33. Scaling Laws for TransferDanny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 102 citations
34. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
35. Arabic Speech Recognition by End-to-End, Modular Systems and HumanAmir Hussein, Shinji Watanabe, Ahmed Ali2021 · 76 citations
36. Scaling Laws and Interpretability of Learning from Repeated DataDanny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 62 citations
37. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
38. A Hierarchical Neural Model for Learning Sequences of Dialogue ActsQuan Hung Tran, Ingrid Zukerman, Gholamreza Haffari2017 · 44 citations
39. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
40. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
41. The Quantization Model of Neural ScalingEric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 27 citations
42. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
43. Multi-Dialect Arabic Speech RecognitionAbbas Raza Ali2021 · 18 citations
44. MASRI-HEADSET: A Maltese Corpus for Speech RecognitionCarlos Daniel Hernandez Mena, Albert Gatt, Andrea DeMarco, et al.2020 · 16 citations
45. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
46. DARTS: Dialectal Arabic Transcription SystemSameer Khurana, Ahmed Ali, James Glass2019 · 7 citations
47. Open Automatic Speech Recognition Models for Classical and Modern Standard ArabicLilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al.2025 · 4 citations
48. Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationMassa Baali, Ibrahim Almakky, Shady Shehata, et al.2023 · 4 citations
49. UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine ArabicSara Nabhani, Aiden Williams, Miftahul Jannat, et al.2024 · 2 citations
50. UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech TranslationKurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, et al.2024 · 2 citations
51. EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-SpeechBesher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.2026
52. From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed SpeechAnuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.2026
53. Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource TaskMaged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad2025

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