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Who cites Zachary DeVito

4,767 citations of their works from 4,714 papers of our library (of the 149,439 whose bibliographies we read) · 420 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Zachary DeVito

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  1. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
  2. KernelBench: Can LLMs Write Efficient GPU Kernels?arXiv:2502.10517Anne Ouyang, Simon Guo, Simran Arora, et al.2025 · 178 citations
  3. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  4. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  5. DeepProbLog: Neural Probabilistic Logic ProgrammingarXiv:1805.10872Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.2018 · 172 citations
  6. Tutel: Adaptive Mixture-of-Experts at ScaleMLSys 2023Changho Hwang, Wei Cui, Yifan Xiong, et al.2022 · 168 citations
  7. Unsupervised Translation of Programming LanguagesarXiv:2006.03511Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.2020 · 160 citations
  8. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
  9. CLIPort: What and Where Pathways for Robotic ManipulationarXiv:2109.12098Mohit Shridhar, Lucas Manuelli, Dieter Fox2021 · 159 citations
  10. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsarXiv:2402.15627Ziheng Jiang, Haibin Lin, Yinmin Zhong, et al.2024 · 157 citations
  11. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
  12. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  13. MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationarXiv:2310.03302Qian Huang, Jian Vora, Percy Liang, et al.2023 · 147 citations
  14. CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksarXiv:2105.12655Ruchir Puri, David S. Kung, Geert Janssen, et al.2021 · 141 citations
  15. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
  16. Knowledge Guided Text Retrieval and Reading for Open Domain Question AnsweringarXiv:1911.03868Sewon Min, Danqi Chen, Luke Zettlemoyer, et al.2019 · 133 citations
  17. Scaling Up Models and Data with t5x and seqioarXiv:2203.17189Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.2022 · 130 citations
  18. Online normalizer calculation for softmaxarXiv 2018 (NVIDIA)Maxim Milakov, Natalia Gimelshein2018 · 123 citations
  19. QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM ServingMLSys 2025Yujun Lin, Haotian Tang, Shang Yang, et al.2024 · 120 citations
  20. A Constructive Prediction of the Generalization Error Across ScalesarXiv:1909.12673Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, et al.2019 · 120 citations
  21. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  22. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  23. MetricX-24: The Google Submission to the WMT 2024 Metrics Shared TaskConference on Machine Translation (WMT)Juraj Juraska, Daniel Deutsch, Mara Finkelstein, et al.2024 · 118 citations
  24. MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskConference on Machine Translation (WMT)Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.2023 · 118 citations
  25. Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
  26. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
  27. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  28. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
  29. Prompt Cache: Modular Attention Reuse for Low-Latency InferenceMLSys 2024In Gim, Guojun Chen, Seung-seob Lee, et al.2023 · 109 citations
  30. HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationarXiv:2108.06712Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.2021 · 108 citations
  31. minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language ModelsarXiv:2203.13112Kanishka Misra2022 · 102 citations
  32. Dataless Knowledge Fusion by Merging Weights of Language ModelsarXiv:2212.09849Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, et al.2022 · 101 citations
  33. VeRA: Vector-based Random Matrix AdaptationarXiv:2310.11454Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano2023 · 99 citations
  34. Dataset DistillationarXiv:1811.10959Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.2018 · 97 citations
  35. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  36. GamePad: A Learning Environment for Theorem ProvingarXiv:1806.00608Daniel Huang, Prafulla Dhariwal, Dawn Song, et al.2018 · 94 citations
  37. From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsarXiv:2502.14802Bernal Jimenez Gutierrez, Yiheng Shu, Weijian Qi, et al.2025 · 90 citations
  38. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringarXiv:2106.05346Devendra Singh Sachan, Siva Reddy, William Hamilton, et al.2021 · 88 citations
  39. Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
  40. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  41. SPLADE v2: Sparse Lexical and Expansion Model for Information RetrievalarXiv:2109.10086Thibault Formal, Carlos Lassance, Benjamin Piwowarski, et al.2021 · 83 citations
  42. Linearity of Relation Decoding in Transformer Language ModelsarXiv:2308.09124Evan Hernandez, Arnab Sen Sharma, Tal Haklay, et al.2023 · 82 citations
  43. Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingarXiv:2208.06102Jie You, Jae-Won Chung, Mosharaf Chowdhury2022 · 82 citations
  44. S-LoRA: Serving Thousands of Concurrent LoRA AdaptersMLSys 2024Ying Sheng, Shiyi Cao, Dacheng Li, et al.2023 · 80 citations
  45. BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical TextarXiv:2403.18421Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, et al.2024 · 79 citations
  46. DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-InferencearXiv 2024 (Microsoft DeepSpeed)Connor Holmes, Masahiro Tanaka, Michael Wyatt, et al.2024 · 78 citations
  47. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
  48. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
  49. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-trainingarXiv:2305.14342Hong Liu, Zhiyuan Li, David Hall, et al.2023 · 70 citations

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