🧑‍🔬 Who cites Gregory Diamos

516 citations of their works from 468 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Gregory Diamos

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. LLaMA: Open and Efficient Foundation Language ModelsarXiv:2302.13971Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 9,603 citations
4. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
5. mixup: Beyond Empirical Risk MinimizationarXiv:1710.09412Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al.2017 · 4,928 citations
6. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionInterspeechDaniel S. Park, William Chan, Yu Zhang, et al.2019 · 3,837 citations
7. Scaling Laws for Neural Language ModelsarXiv:2001.08361Jared Kaplan, Sam McCandlish, Tom Henighan, et al.2020 · 3,434 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. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
10. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
11. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
12. Layer NormalizationarXiv:1607.06450Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,819 citations
13. Attention-Based Models for Speech RecognitionarXiv:1506.07503Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al.2015 · 1,819 citations
14. 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
15. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
16. Common Voice: A Massively-Multilingual Speech CorpusarXiv:1912.06670Rosana Ardila, Megan Branson, Kelly Davis, et al.2019 · 758 citations
17. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
18. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
19. Deep Learning Scaling is Predictable, EmpiricallyarXiv:1712.00409Joel Hestness, Sharan Narang, Newsha Ardalani, et al.2017 · 518 citations
20. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
21. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
22. Are Emergent Abilities of Large Language Models a Mirage?Conference on Neural Information Processing Systems (NeurIPS)Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 342 citations
23. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
24. SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 290 citations
25. Scaling Laws for Autoregressive Generative ModelingarXiv:2010.14701Tom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 277 citations
26. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
27. Generative Language Modeling for Automated Theorem ProvingarXiv:2009.03393Stanislas Polu, Ilya Sutskever2020 · 241 citations
28. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
29. Beyond neural scaling laws: beating power law scaling via data pruningConference on Neural Information Processing Systems (NeurIPS)Ben Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 231 citations
30. A Dataset for Multi-Target Stance DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
31. Grounded Adaptation for Zero-shot Executable Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Victor Zhong, Mike Lewis, Sida I. Wang, et al.2020 · 136 citations
32. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 123 citations
33. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsarXiv:2408.00724Yangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 122 citations
34. Direct Acoustics-to-Word Models for English Conversational Speech RecognitionInterspeechKartik Audhkhasi, Bhuvana Ramabhadran, George Saon, et al.2017 · 122 citations
35. Scaling Laws for TransferarXiv:2102.01293Danny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 118 citations
36. Building competitive direct acoustics-to-word models for English conversational speech recognitionIEEE International Conference on Acoustics Speech and Signal ProcessingKartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, et al.2017 · 111 citations
37. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationarXiv:2303.09540Amro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 108 citations
38. The IBM 2015 English Conversational Telephone Speech Recognition SystemInterspeechGeorge Saon, Hong-Kwang J. Kuo, Steven Rennie, et al.2015 · 97 citations
39. AnyGPT: Unified Multimodal LLM with Discrete Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhan, Junqi Dai, Jiasheng Ye, et al.2024 · 95 citations
40. Scaling Laws and Interpretability of Learning from Repeated DataarXiv:2205.10487Danny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 91 citations
41. Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingInternational Conference on Computational Linguistics (COLING)Yutai Hou, Yijia Liu, Wanxiang Che, et al.2018 · 88 citations
42. Arabic Speech Recognition by End-to-End, Modular Systems and HumanComputer Speech & LanguageAmir Hussein, Shinji Watanabe, Ahmed Ali2021 · 76 citations
43. Joint Modeling of Accents and Acoustics for Multi-Accent Speech RecognitionIEEE International Conference on Acoustics Speech and Signal ProcessingXuesong Yang, Kartik Audhkhasi, Andrew Rosenberg, et al.2018 · 73 citations
44. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
45. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
46. On the limit of English conversational speech recognitionInterspeechZoltan Tuske, George Saon, Brian Kingsbury2021 · 49 citations
47. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
48. Scaling Laws for Generative Mixed-Modal Language ModelsarXiv:2301.03728Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 45 citations
49. A Hierarchical Neural Model for Learning Sequences of Dialogue ActsConference of the European Chapter of the Association for Computational Linguistics (EACL)Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari2017 · 44 citations
50. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
51. The Quantization Model of Neural ScalingarXiv:2303.13506Eric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 30 citations
52. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
53. Pretraining on the Test Set Is All You NeedarXiv:2309.08632Rylan Schaeffer2023 · 24 citations
54. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
55. Multi-Dialect Arabic Speech RecognitionarXiv:2112.14678Abbas Raza Ali2020 · 18 citations
56. MASRI-HEADSET: A Maltese Corpus for Speech RecognitionLanguage Resources and Evaluation Conference (LREC)Carlos Daniel Hernandez Mena, Albert Gatt, Andrea DeMarco, et al.2020 · 16 citations
57. Arabic Synonym BERT-based Adversarial Examples for Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Norah Alshahrani, Saied Alshahrani, Esma Wali, et al.2024 · 10 citations
58. The Perceptimatic English Benchmark for Speech Perception ModelsarXiv:2005.03418Juliette Millet, Ewan Dunbar2020 · 10 citations
59. DARTS: Dialectal Arabic Transcription SystemarXiv:1909.12163Sameer Khurana, Ahmed Ali, James Glass2019 · 7 citations
60. End-to-end Jordanian dialect speech-to-text self-supervised learning frameworkarXiv:2609.24410 · Front. Robot. AI 9:1090012 (2022)Ali A. Safieh, Ibrahim Abu Alhaol, Rawan Ghnemat2022 · 5 citations
61. Open Automatic Speech Recognition Models for Classical and Modern Standard ArabicIEEE International Conference on Acoustics Speech and Signal ProcessingLilit Grigoryan, Nikolay Karpov, Enas Albasiri, et al.2025 · 4 citations
62. Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationInterspeechMassa Baali, Ibrahim Almakky, Shady Shehata, et al.2023 · 4 citations
63. The IBM 2016 English Conversational Telephone Speech Recognition SystemarXiv:1604.08242George Saon, Tom Sercu, Steven Rennie, et al.2016 · 3 citations
64. Scaling Laws for Code: Every Programming Language MattersFindings of the Association for Computational LinguisticsJian Yang, Shuyue Guo, Linzheng Chai, et al.2026 · 2 citations
65. UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine ArabicInternational Conference on Spoken Language Translation (IWSLT)Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.2024 · 2 citations
66. UOM-Constrained IWSLT 2024 Shared Task Submission - Maltese Speech TranslationInternational Conference on Spoken Language Translation (IWSLT)Kurt Abela, Md Abdur Razzaq Riyadh, Melanie Galea, et al.2024 · 2 citations
67. Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakersarXiv:2201.10198Neha Baranwal, Sharatkumar Chilaka2022 · 2 citations
68. SupraTok: Cross-Boundary Tokenization for Enhanced Language Model PerformanceTransactions of the Association for Computational Linguistics (TACL)Andrei-Valentin Tănase, Elena Pelican2026 · 1 citation
69. Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speecharXiv:2002.00205Xu Li, Xixin Wu, Xunying Liu, et al.2020 · 1 citation
70. The Marchex 2018 English Conversational Telephone Speech Recognition SystemarXiv:1811.02058Seongjun Hahm, Iroro Orife, Shane Walker, et al.2018 · 1 citation
71. Bengali-English and Hindi-English Code Mixed Speech Data with DisfluenciesWorkshop on Indian Language Data: Resources and EvaluationAnuran Mitra, Tapabrata Mondal, Anirvan Chakravarty, et al.2026
72. CIS-BWE: Chaos-Informed Speech Bandwidth ExtensionAnnual Meeting of the Association for Computational Linguistics (ACL)Tarikul Islam Tamiti, Tonmoy Das, Nursadul Mamun, et al.2026
73. EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-SpeecharXiv:2602.01170Besher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.2026
74. Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable FormatFindings of the Association for Computational LinguisticsDingzirui Wang, Xuanliang Zhang, Rongyu Cao, et al.2026
75. From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed SpeechSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesAnuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.2026
76. Inverse Text Normalization for Arabic Numbers in Streaming ASRWorkshop on Computation and Written Language @ LRECEnas Albasiri, Myungjong Kim, Nourchene Ferchichi, et al.2026
77. Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource TaskarXiv:2504.12172Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad2025

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