Rush, Alexander M.

26 publications

ICLR 2025 Commit0: Library Generation from Scratch Wenting Zhao, Nan Jiang, Celine Lee, Justin T Chiu, Claire Cardie, Matthias Gallé, Alexander M Rush
ICLR 2025 Compute-Constrained Data Selection Junjie Yin, Alexander M Rush
ICLR 2025 Contextual Document Embeddings John Xavier Morris, Alexander M Rush
ICML 2025 Multi-Turn Code Generation Through Single-Step Rewards Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao, Sanjiban Choudhury
ICLRW 2025 Multi-Turn Code Generation Through Single-Step Rewards Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao, Sanjiban Choudhury
JMLR 2025 Scaling Data-Constrained Language Models Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel
ICLR 2025 Simple Guidance Mechanisms for Discrete Diffusion Models Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P de Almeida, Alexander M Rush, Thomas Pierrot, Volodymyr Kuleshov
CVPR 2024 Diffusion Models Without Attention Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
ICLR 2024 Guess & Sketch: Language Model Guided Transpilation Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M Rush
ICLR 2024 Language Model Inversion John Xavier Morris, Wenting Zhao, Justin T Chiu, Vitaly Shmatikov, Alexander M Rush
NeurIPSW 2024 Sampling Language from Latent System 2 Reasoning Celine Lee, Md Arafat Sultan, Tahira Naseem, Alexander M Rush, Ramón Fernandez Astudillo
ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov
ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov
NeurIPSW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Yair Schiff, Edgar Mariano Marroquin, Justin T Chiu, Alexander M Rush, Volodymyr Kuleshov
NeurIPS 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
ICMLW 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M Rush, Tri Dao
ICLR 2023 Markup-to-Image Diffusion Models with Scheduled Sampling Yuntian Deng, Noriyuki Kojima, Alexander M Rush
TMLR 2023 Named Tensor Notation David Chiang, Alexander M Rush, Boaz Barak
ICLR 2022 Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M Rush
ICLR 2021 Learning from Others' Mistakes: Avoiding Dataset Biases Without Modeling Them Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M Rush
AISTATS 2019 Avoiding Latent Variable Collapse with Generative Skip Models Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
ICML 2017 Image-to-Markup Generation with Coarse-to-Fine Attention Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
ICLR 2017 Lie-Access Neural Turing Machines Greg Yang, Alexander M. Rush
ICLR 2017 Structured Attention Networks Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush
AAAI 2016 Character-Aware Neural Language Models Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush
JAIR 2012 A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing Alexander M. Rush, Michael Collins