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Alexander M. Rush

  1. Text Embeddings Reveal (Almost) As Much As Text
    2023/10/10 by John X. Morris, Morris, John X., Volodymyr Kuleshov +5 · 10 voices · 32 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Topic Modeling #cs.CL #cs.LG
  2. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
    2015/02/19 by Jason Weston, Weston, Jason, Antoine Bordes +12 · 2 voices · 93 citations
    Computer Science · #cs.AI #cs.CL #stat.ML
  3. Scaling Data-Constrained Language Models
    2023/05/25 by Niklas Muennighoff, Alexander M. Rush, Muennighoff, Niklas +15 · 1 voice · 68 citations
    Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.AI #cs.CL #cs.LG
  4. How much do language models memorize?
    2025/05/30 by John X. Morris, Chawin Sitawarin, Morris, John X. +13 · 9 voices · 22 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL
  5. Datasets: A Community Library for Natural Language Processing
    2021/09/07 by Quentin Lhoest, Lhoest, Quentin, Albert Villanova del Moral +61 · 1 voice · 39 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  6. Simple and Effective Masked Diffusion Language Models
    2024/06/11 by Subham Sekhar Sahoo, Sahoo, Subham Sekhar, Marianne Arriola +13 · 167 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  7. Multitask Prompted Training Enables Zero-Shot Task Generalization
    2021/10/15 by Victor Sanh, Albert Webson, Sanh, Victor +79 · 65 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  8. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
    2023/06/21 by Hugo Laurençon, Lucile Saulnier, Laurençon, Hugo +22 · 1 voice · 34 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CV #cs.IR
  9. Sequence-Level Knowledge Distillation
    2016/06/25 by Yoon Kim, Kim, Yoon, Alexander M. Rush +1 · 46 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  10. Transformers: State-of-the-Art Natural Language Processing
    2020/01/01 by Thomas Wolf, Lysandre Debut, Victor Sanh +19 · 45 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  11. MambaByte: Token-free Selective State Space Model
    2024/01/24 by Junxiong Wang, Tushaar Gangavarapu, Wang, Junxiong +5 · 4 voices · 4 citations
    Computer Science · #Cellular Automata and Applications #cs.CL #cs.LG
  12. Parameter-Efficient Transfer Learning with Diff Pruning
    2020/12/14 by Demi Guo, Guo, Demi, Alexander M. Rush +3 · 34 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling #Multimodal Machine Learning Applications
  13. Movement Pruning: Adaptive Sparsity by Fine-Tuning
    2020/05/15 by Victor Sanh, Sanh, Victor, Thomas Wolf +3 · 32 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  14. M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
    2025/04/14 by Junxiong Wang, Wang, Junxiong, Wen-Ding Li +11 · 3 voices · 8 citations
    Computer Science · #Formal Methods in Verification #Logic, programming, and type systems #Logic, Reasoning, and Knowledge
  15. Zephyr: Direct Distillation of LM Alignment
    2023/10/25 by Lewis Tunstall, Edward Beeching, Tunstall, Lewis +25 · 46 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Speech and dialogue systems #Topic Modeling
  16. Challenges in Data-to-Document Generation
    2017/07/25 by Sam Wiseman, Wiseman, Sam, Stuart M. Shieber +3 · 24 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  17. Character-Aware Neural Language Models
    2015/08/26 by Yoon Kim, Kim, Yoon, Yacine Jernite +5 · 21 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Speech Recognition and Synthesis #Topic Modeling
  18. PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
    2022/02/02 by Stephen H. Bach, Bach, Stephen H., Victor Sanh +51 · 16 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
  19. Structured Attention Networks
    2017/02/03 by Yoon Kim, Carl Denton, Kim, Yoon +5 · 13 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  20. Image-to-Markup Generation with Coarse-to-Fine Attention
    2016/09/16 by Yuntian Deng, Anssi Kanervisto, Deng, Yuntian +5 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE)
  21. Simple Guidance Mechanisms for Discrete Diffusion Models
    2024/12/13 by Yair Schiff, Subham Sekhar Sahoo, Schiff, Yair +17 · 34 citations
    Mathematics · #FOS: Computer and information sciences #Gas Dynamics and Kinetic Theory #Machine Learning (cs.LG)
  22. Sequence-to-Sequence Learning as Beam-Search Optimization
    2016/06/09 by Sam Wiseman, Alexander M. Rush, Wiseman, Sam +1 · 14 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  23. Semi-Amortized Variational Autoencoders
    2018/02/07 by Yoon Kim, Sam Wiseman, Kim, Yoon +7 · 12 citations
    Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  24. Bottom-Up Abstractive Summarization
    2018/08/31 by Sebastian Gehrmann, Gehrmann, Sebastian, Yuntian Deng +3 · 7 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  25. Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
    2022/08/16 by Hendrik Strobelt, Albert Webson, Strobelt, Hendrik +11 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  26. Commonsense Knowledge Mining from Pretrained Models
    2019/09/02 by Joshua Feldman, Joe Davison, Feldman, Joshua +3 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  27. Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
    2022/10/25 by Zhiying Xu, Francis Y. Yan, Xu, Zhiying +9 · 7 citations
    Computer Science · #Software-Defined Networks and 5G #Internet Traffic Analysis and Secure E-voting #Network Traffic and Congestion Control
  28. OpenNMT: Neural Machine Translation Toolkit
    2018/05/28 by Guillaume Klein, Yoon Kim, Klein, Guillaume +9 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  29. Commit0: Library Generation from Scratch
    2024/12/02 by Wenting Zhao, Zhao, Wenting, Nan Jiang +11 · 9 citations
    Computer Science · #Recommender Systems and Techniques
  30. Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
    2022/09/30 by Leandro von Werra, von Werra, Leandro, Lewis Tunstall +35 · 4 citations
    Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Materials Science
  31. Adversarially Regularized Autoencoders
    2017/06/13 by Zhao, Jake, Yoon Kim, Kim, Yoon +6 · 4 citations
    Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE)
  32. LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in\n Recurrent Neural Networks
    2016/06/23 by Hendrik Strobelt, Strobelt, Hendrik, Sebastian Gehrmann +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Visualization and Analytics #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Time Series Analysis and Forecasting
  33. Avoiding Latent Variable Collapse With Generative Skip Models
    2018/07/12 by Adji Bousso Dieng, Dieng, Adji B., Yoon Kim +5 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Music and Audio Processing
  34. Unsupervised Recurrent Neural Network Grammars
    2019/04/07 by Yoon Kim, Kim, Yoon, Alexander M. Rush +9 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  35. Visual Interaction with Deep Learning Models through Collaborative\n Semantic Inference
    2019/07/24 by Sebastian Gehrmann, Gehrmann, Sebastian, Hendrik Strobelt +7 · 2 citations
    Computer Science · #Data Visualization and Analytics #Multimodal Machine Learning Applications #Semantic Web and Ontologies
  36. Model Criticism for Long-Form Text Generation
    2022/10/16 by Yuntian Deng, Deng, Yuntian, Volodymyr Kuleshov +3 · 1 voice · 2 citations
    Computer Science · Mathematics · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG #stat.ML
  37. Encoder-Agnostic Adaptation for Conditional Language Generation
    2019/08/19 by Zachary M. Ziegler, Ziegler, Zachary M., Luke Melas-Kyriazi +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  38. Challenges in Trustworthy Human Evaluation of Chatbots
    2024/12/05 by Wenting Zhao, Zhao, Wenting, Alexander M. Rush +3 · 4 citations
    Computer Science · #AI in Service Interactions #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  39. Contextual Document Embeddings
    2024/10/03 by John X. Morris, Morris, John X., Alexander M. Rush +1 · 3 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  40. Latent Normalizing Flows for Discrete Sequences
    2019/01/29 by Zachary M. Ziegler, Alexander M. Rush, Ziegler, Zachary M. +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Natural Language Processing Techniques #Topic Modeling
  41. Cascaded Text Generation with Markov Transformers
    2020/06/01 by Yuntian Deng, Deng, Yuntian, Alexander M. Rush +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  42. Learning from others' mistakes: Avoiding dataset biases without modeling them
    2020/12/02 by Victor Sanh, Sanh, Victor, Thomas Wolf +5 · 1 citation
    Computer Science · Social Sciences · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  43. A Controlled Study on Long Context Extension and Generalization in LLMs
    2024/09/18 by Yi Lü, Jing Nathan Yan, Lu, Yi +15 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  44. Explaining Patterns in Data with Language Models via Interpretable Autoprompting
    2022/10/04 by Chandan Singh, John X. Morris, Singh, Chandan +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Neurons and Cognition (q-bio.NC) #Topic Modeling
  45. Unsupervised Text Deidentification
    2022/10/20 by John X. Morris, Justin Chiu, Morris, John X. +5 · 1 citation
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #Wikis in Education and Collaboration
  46. Pretraining Without Attention
    2022/12/20 by Junxiong Wang, Wang, Junxiong, Jing Nathan Yan +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  47. Predicting Text Preference Via Structured Comparative Reasoning
    2023/11/14 by Jing Nathan Yan, Yan, Jing Nathan, Tianqi Liu +21 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Advanced Text Analysis Techniques
  48. Approximating Language Model Training Data from Weights
    2025/06/18 by John X. Morris, Morris, John X., Yin, Junjie Oscar +6 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling