Alexander M. Rush

244 papers A* 54A 3B 4Misc 1Journal 123Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2025	J	`jnl`	Approximating Language Model Training Data from Weights. CoRR John X. Morris, Junjie Oscar Yin, Woojeong Kim, Vitaly Shmatikov, Alexander M. Rush
2025	—	`conf`	Challenges in Trustworthy Human Evaluation of Chatbots. NAACL (Findings) Wenting Zhao, Alexander M. Rush, Tanya Goyal
2025	A*	`conf`	Commit0: Library Generation from Scratch. ICLR Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush
2025	A*	`conf`	Compute-Constrained Data Selection. ICLR Junjie Oscar Yin, Alexander M. Rush
2025	A*	`conf`	Contextual Document Embeddings. ICLR John Xavier Morris, Alexander M. Rush
2025	—	`conf`	Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length? IJCNLP-AACL (long papers) Celine Lee, Alexander M. Rush, Keyon Vafa
2025	J	`jnl`	Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length? CoRR Celine Lee, Alexander M. Rush, Keyon Vafa
2025	—	`conf`	Great Memory, Shallow Reasoning: Limits of kNN-LMs. NAACL (Short Papers) Shangyi Geng, Wenting Zhao, Alexander M. Rush
2025	J	`jnl`	How much do language models memorize? CoRR John X. Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M. Rush, Kamalika Chaudhuri, Saeed Mahloujifar
2025	J	`jnl`	M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models. CoRR Junxiong Wang, Wen-Ding Li, Daniele Paliotta, Daniel Ritter, Alexander M. Rush, Tri Dao
2025	A*	`conf`	Multi-Turn Code Generation Through Single-Step Rewards. ICML Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury
2025	J	`jnl`	Multi-Turn Code Generation Through Single-Step Rewards. CoRR Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M. Rush, Wenting Zhao, Sanjiban Choudhury
2025	J	`jnl`	OverFill: Two-Stage Models for Efficient Language Model Decoding. CoRR Woojeong Kim, Junxiong Wang, Jing Nathan Yan, Mohamed Abdelfattah, Alexander M. Rush
2025	J	`jnl`	Scaling Data-Constrained Language Models. J. Mach. Learn. Res. Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel
2025	A*	`conf`	Simple Guidance Mechanisms for Discrete Diffusion Models. ICLR 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
2025	—	`conf`	Triton-Viz: Visualizing GPU Programming in AI Courses. SIGCSE (1) Tejas Ramesh, Alexander M. Rush, Xu Liu, Binqian Yin, Keren Zhou, Shuyin Jiao
2024	J	`jnl`	A Controlled Study on Long Context Extension and Generalization in LLMs. CoRR Yi Lu, Jing Nathan Yan, Songlin Yang, Justin T. Chiu, Siyu Ren, Fei Yuan, Wenting Zhao, Zhiyong Wu, Alexander M. Rush
2024	J	`jnl`	Challenges in Trustworthy Human Evaluation of Chatbots. CoRR Wenting Zhao, Alexander M. Rush, Tanya Goyal
2024	J	`jnl`	Commit0: Library Generation from Scratch. CoRR Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush
2024	J	`jnl`	Compute-Constrained Data Selection. CoRR Junjie Oscar Yin, Alexander M. Rush
2024	J	`jnl`	Contextual Document Embeddings. CoRR John X. Morris, Alexander M. Rush
2024	A*	`conf`	Diffusion Models Without Attention. CVPR Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2024	—	`conf`	Entity Disambiguation via Fusion Entity Decoding. NAACL-HLT Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
2024	J	`jnl`	Entity Disambiguation via Fusion Entity Decoding. CoRR Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
2024	J	`jnl`	Great Memory, Shallow Reasoning: Limits of CoRR Shangyi Geng, Wenting Zhao, Alexander M. Rush
2024	A*	`conf`	Guess & Sketch: Language Model Guided Transpilation. ICLR Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2024	A*	`conf`	I Could've Asked That: Reformulating Unanswerable Questions. EMNLP Wenting Zhao, Ge Gao, Claire Cardie, Alexander M. Rush
2024	J	`jnl`	I Could've Asked That: Reformulating Unanswerable Questions. CoRR Wenting Zhao, Ge Gao, Claire Cardie, Alexander M. Rush
2024	A*	`conf`	Language Model Inversion. ICLR John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
2024	J	`jnl`	MambaByte: Token-free Selective State Space Model. CoRR Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush
2024	J	`jnl`	NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics. CoRR Jiawei Zhou, Woojeong Kim, Zhiying Xu, Alexander M. Rush, Minlan Yu
2024	—	`conf`	Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
2024	A*	`conf`	ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. EMNLP Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
2024	J	`jnl`	ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
2024	J	`jnl`	Simple and Effective Masked Diffusion Language Models. CoRR Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov
2024	A*	`conf`	The Mamba in the Llama: Distilling and Accelerating Hybrid Models. NeurIPS Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2024	J	`jnl`	The Mamba in the Llama: Distilling and Accelerating Hybrid Models. CoRR Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
2023	—	`conf`	A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023	J	`jnl`	A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023	—	`conf`	Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. ACL (1) Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
2023	J	`jnl`	Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. CoRR Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
2023	J	`jnl`	Diffusion Models Without Attention. CoRR Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
2023	J	`jnl`	Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling. CoRR Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
2023	J	`jnl`	End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov
2023	—	`conf`	Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
2023	J	`jnl`	Guess & Sketch: Language Model Guided Transpilation. CoRR Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2023	J	`jnl`	HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision. CoRR Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
2023	A*	`conf`	Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. EMNLP Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
2023	J	`jnl`	Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2023	J	`jnl`	Language Model Inversion. CoRR John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
2023	A*	`conf`	Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
2023	—	`conf`	MiniChain: A Small Library for Coding with Large Language Models. EMNLP (Demos) Alexander M. Rush
2023	J	`jnl`	Named Tensor Notation. Trans. Mach. Learn. Res. David Chiang, Alexander M. Rush, Boaz Barak
2023	A*	`conf`	OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. NeurIPS Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
2023	J	`jnl`	OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. CoRR Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
2023	J	`jnl`	On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
2023	—	`conf`	Pretraining Without Attention. EMNLP (Findings) Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
2023	A*	`conf`	Scaling Data-Constrained Language Models. NeurIPS Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A. Raffel
2023	J	`jnl`	Scaling Data-Constrained Language Models. CoRR Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel
2023	A*	`conf`	Symbolic Planning and Code Generation for Grounded Dialogue. EMNLP Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried
2023	J	`jnl`	Symbolic Planning and Code Generation for Grounded Dialogue. CoRR Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried
2023	A*	`conf`	Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. SIGCOMM Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu
2023	A*	`conf`	Text Embeddings Reveal (Almost) As Much As Text. EMNLP John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
2023	J	`jnl`	Text Embeddings Reveal (Almost) As Much As Text. CoRR John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
2023	A*	`conf`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2023	J	`jnl`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2023	J	`jnl`	Zephyr: Direct Distillation of LM Alignment. CoRR Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf
2022	J	`jnl`	ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition. CoRR Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
2022	J	`jnl`	Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela
2022	J	`jnl`	Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
2022	J	`jnl`	GenNI: Human-AI Collaboration for Data-Backed Text Generation. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2022	J	`jnl`	Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2022	J	`jnl`	Low-Rank Constraints for Fast Inference in Structured Models. CoRR Justin T. Chiu, Yuntian Deng, Alexander M. Rush
2022	J	`jnl`	Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
2022	A*	`conf`	Model Criticism for Long-Form Text Generation. EMNLP Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
2022	J	`jnl`	Model Criticism for Long-Form Text Generation. CoRR Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
2022	A*	`conf`	Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR Victor Sanh, Albert Webson, Colin Raffel, Stephen H. 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 V. 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 Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
2022	J	`jnl`	Pretraining Without Attention. CoRR Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
2022	—	`conf`	PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush
2022	J	`jnl`	PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush
2022	J	`jnl`	Teal: Learning-Accelerated Optimization of Traffic Engineering. CoRR Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu
2022	—	`conf`	Unsupervised Text Deidentification. EMNLP (Findings) John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2022	J	`jnl`	Unsupervised Text Deidentification. CoRR John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2022	A	`conf`	Xatu: boosting existing DDoS detection systems using auxiliary signals. CoNEXT Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander M. Rush, Jelena Mirkovic, Minlan Yu
2021	—	`conf`	9.8 A 25mm ISSCC Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021	—	`conf`	Block Pruning For Faster Transformers. EMNLP (1) François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
2021	J	`jnl`	Block Pruning For Faster Transformers. CoRR François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
2021	—	`conf`	Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021	J	`jnl`	Datasets: A Community Library for Natural Language Processing. CoRR Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
2021	—	`conf`	Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2021	J	`jnl`	Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
2021	A*	`conf`	EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021	A	`conf`	GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction. EACL Xinya Du, Alexander M. Rush, Claire Cardie
2021	J	`jnl`	GenNI: Human-AI Collaboration for Data-Backed Text Generation. CoRR Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2021	J	`jnl`	How Many Data Points is a Prompt Worth? CoRR Teven Le Scao, Alexander M. Rush
2021	—	`conf`	How many data points is a prompt worth? NAACL-HLT Teven Le Scao, Alexander M. Rush
2021	A*	`conf`	Learning from others' mistakes: Avoiding dataset biases without modeling them. ICLR Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2021	—	`conf`	Low-Complexity Probing via Finding Subnetworks. NAACL-HLT Victor Sanh, Alexander M. Rush
2021	J	`jnl`	Low-Complexity Probing via Finding Subnetworks. CoRR Steven Cao, Victor Sanh, Alexander M. Rush
2021	A*	`conf`	Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS Justin T. Chiu, Yuntian Deng, Alexander M. Rush
2021	J	`jnl`	Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. 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 Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
2021	J	`jnl`	Named Tensor Notation. CoRR David Chiang, Alexander M. Rush, Boaz Barak
2021	—	`conf`	Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) Demi Guo, Alexander M. Rush, Yoon Kim
2021	—	`conf`	Rationales for Sequential Predictions. EMNLP (1) Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2021	J	`jnl`	Rationales for Sequential Predictions. CoRR Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2021	—	`conf`	SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33 HCS Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021	—	`conf`	Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) Yuntian Deng, Alexander M. Rush
2021	—	`conf`	Template Filling with Generative Transformers. NAACL-HLT Xinya Du, Alexander M. Rush, Claire Cardie
2020	—	`conf`	Adversarial Semantic Collisions. EMNLP (1) Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
2020	J	`jnl`	Adversarial Semantic Collisions. CoRR Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
2020	A*	`conf`	Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. DAC Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	J	`jnl`	Automating Botnet Detection with Graph Neural Networks. CoRR Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu
2020	A*	`conf`	Cascaded Text Generation with Markov Transformers. NeurIPS Yuntian Deng, Alexander M. Rush
2020	J	`jnl`	Cascaded Text Generation with Markov Transformers. CoRR Yuntian Deng, Alexander M. Rush
2020	J	`jnl`	Document-level Event-based Extraction Using Generative Template-filling Transformers. CoRR Xinya Du, Alexander M. Rush, Claire Cardie
2020	J	`jnl`	EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020	—	`conf`	Improving Event Duration Prediction via Time-aware Pre-training. EMNLP (Findings) Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2020	J	`jnl`	Improving Event Duration Prediction via Time-aware Pre-training. CoRR Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
2020	J	`jnl`	LAN: A Materials Notation for Two-Dimensional Layered Assemblies. J. Chem. Inf. Model. Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, Efthimios Kaxiras
2020	A*	`conf`	Latent Template Induction with Gumbel-CRFs. NeurIPS Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
2020	J	`jnl`	Latent Template Induction with Gumbel-CRFs. CoRR Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
2020	J	`jnl`	Learning from others' mistakes: Avoiding dataset biases without modeling them. CoRR Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2020	J	`jnl`	MiniConf - A Virtual Conference Framework. CoRR Alexander M. Rush, Hendrik Strobelt
2020	A*	`conf`	Movement Pruning: Adaptive Sparsity by Fine-Tuning. NeurIPS Victor Sanh, Thomas Wolf, Alexander M. Rush
2020	J	`jnl`	Movement Pruning: Adaptive Sparsity by Fine-Tuning. CoRR Victor Sanh, Thomas Wolf, Alexander M. Rush
2020	J	`jnl`	Parameter-Efficient Transfer Learning with Diff Pruning. CoRR Demi Guo, Alexander M. Rush, Yoon Kim
2020	A*	`conf`	Posterior Control of Blackbox Generation. ACL Xiang Lisa Li, Alexander M. Rush
2020	J	`jnl`	Posterior Control of Blackbox Generation. CoRR Xiang Lisa Li, Alexander M. Rush
2020	J	`jnl`	Pre-trained Summarization Distillation. CoRR Sam Shleifer, Alexander M. Rush
2020	—	`conf`	Scaling Hidden Markov Language Models. EMNLP (1) Justin T. Chiu, Alexander M. Rush
2020	J	`jnl`	Scaling Hidden Markov Language Models. CoRR Justin T. Chiu, Alexander M. Rush
2020	—	`conf`	Sequence-Level Mixed Sample Data Augmentation. EMNLP (1) Demi Guo, Yoon Kim, Alexander M. Rush
2020	J	`jnl`	Sequence-Level Mixed Sample Data Augmentation. CoRR Demi Guo, Yoon Kim, Alexander M. Rush
2020	—	`conf`	Torch-Struct: Deep Structured Prediction Library. ACL (demo) Alexander M. Rush
2020	J	`jnl`	Torch-Struct: Deep Structured Prediction Library. CoRR Alexander M. Rush
2020	—	`conf`	Transformers: State-of-the-Art Natural Language Processing. EMNLP (Demos) Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, Alexander M. Rush
2020	J	`jnl`	Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. IEEE Trans. Vis. Comput. Graph. Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush
2020	A*	`conf`	What is Learned in Visually Grounded Neural Syntax Acquisition. ACL Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi
2020	J	`jnl`	What is Learned in Visually Grounded Neural Syntax Acquisition. CoRR Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi
2019	J	`jnl`	A Hierarchy of Graph Neural Networks Based on Learnable Local Features. CoRR Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush
2019	J	`jnl`	AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019	A	`conf`	Avoiding Latent Variable Collapse with Generative Skip Models. AISTATS Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
2019	—	`conf`	Commonsense Knowledge Mining from Pretrained Models. EMNLP/IJCNLP (1) Joe Davison, Joshua Feldman, Alexander M. Rush
2019	J	`jnl`	Commonsense Knowledge Mining from Pretrained Models. CoRR Joshua Feldman, Joe Davison, Alexander M. Rush
2019	—	`conf`	Compound Probabilistic Context-Free Grammars for Grammar Induction. ACL (1) Yoon Kim, Chris Dyer, Alexander M. Rush
2019	J	`jnl`	Compound Probabilistic Context-Free Grammars for Grammar Induction. CoRR Yoon Kim, Chris Dyer, Alexander M. Rush
2019	—	`conf`	Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. ACL (1) Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. CoRR Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	Encoder-Agnostic Adaptation for Conditional Language Generation. CoRR Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann, Alexander M. Rush
2019	—	`conf`	GLTR: Statistical Detection and Visualization of Generated Text. ACL (3) Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
2019	J	`jnl`	GLTR: Statistical Detection and Visualization of Generated Text. CoRR Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush
2019	B	`conf`	Generating Abstractive Summaries with Finetuned Language Models. INLG Sebastian Gehrmann, Zachary M. Ziegler, Alexander M. Rush
2019	A*	`conf`	Latent Normalizing Flows for Discrete Sequences. ICML Zachary M. Ziegler, Alexander M. Rush
2019	J	`jnl`	Latent Normalizing Flows for Discrete Sequences. CoRR Zachary M. Ziegler, Alexander M. Rush
2019	B	`conf`	MASR: A Modular Accelerator for Sparse RNNs. PACT Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2019	—	`conf`	Neural Linguistic Steganography. EMNLP/IJCNLP (1) Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
2019	J	`jnl`	Neural Linguistic Steganography. CoRR Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
2019	—	`conf`	On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. *SEM@NAACL-HLT Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. CoRR Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2019	—	`conf`	Simple Unsupervised Summarization by Contextual Matching. ACL (1) Jiawei Zhou, Alexander M. Rush
2019	J	`jnl`	Simple Unsupervised Summarization by Contextual Matching. CoRR Jiawei Zhou, Alexander M. Rush
2019	A*	`conf`	Tensor Variable Elimination for Plated Factor Graphs. ICML Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman
2019	J	`jnl`	Tensor Variable Elimination for Plated Factor Graphs. CoRR Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin T. Chiu, Neeraj Pradhan, Alexander M. Rush, Noah D. Goodman
2019	—	`conf`	Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
2019	J	`jnl`	Unsupervised Recurrent Neural Network Grammars. CoRR Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
2019	J	`jnl`	Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. CoRR Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush
2018	J	`jnl`	A Tutorial on Deep Latent Variable Models of Natural Language. CoRR Yoon Kim, Sam Wiseman, Alexander M. Rush
2018	A*	`conf`	Adversarially Regularized Autoencoders. ICML Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun
2018	J	`jnl`	Avoiding Latent Variable Collapse With Generative Skip Models. CoRR Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
2018	A*	`conf`	Bottom-Up Abstractive Summarization. EMNLP Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
2018	J	`jnl`	Bottom-Up Abstractive Summarization. CoRR Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
2018	—	`conf`	Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2018	B	`conf`	End-to-End Content and Plan Selection for Data-to-Text Generation. INLG Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush
2018	J	`jnl`	End-to-End Content and Plan Selection for Data-to-Text Generation. CoRR Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush
2018	A*	`conf`	Entity Tracking Improves Cloze-style Reading Comprehension. EMNLP Luong Hoang, Sam Wiseman, Alexander M. Rush
2018	J	`jnl`	Entity Tracking Improves Cloze-style Reading Comprehension. CoRR Luong Hoang, Sam Wiseman, Alexander M. Rush
2018	J	`jnl`	LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, Alexander M. Rush
2018	A*	`conf`	Latent Alignment and Variational Attention. NeurIPS Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
2018	J	`jnl`	Latent Alignment and Variational Attention. CoRR Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
2018	A*	`conf`	Learning Neural Templates for Text Generation. EMNLP Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
2018	J	`jnl`	Learning Neural Templates for Text Generation. CoRR Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
2018	—	`conf`	OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU. NMT@ACL Jean Senellart, Dakun Zhang, Bo Wang, Guillaume Klein, Jean-Pierre Ramatchandirin, Josep Maria Crego, Alexander M. Rush
2018	—	`conf`	OpenNMT: Neural Machine Translation Toolkit. AMTA (1) Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
2018	J	`jnl`	OpenNMT: Neural Machine Translation Toolkit. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
2018	A*	`conf`	Semi-Amortized Variational Autoencoders. ICML Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush
2018	J	`jnl`	Semi-Amortized Variational Autoencoders. CoRR Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush
2018	J	`jnl`	Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2018	A*	`conf`	Training for Diversity in Image Paragraph Captioning. EMNLP Luke Melas-Kyriazi, Alexander M. Rush, George Han
2018	—	`conf`	Weightless: Lossy weight encoding for deep neural network compression. ICLR (Workshop) Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2018	A*	`conf`	Weightless: Lossy weight encoding for deep neural network compression. ICML Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2017	A*	`conf`	Adapting Sequence Models for Sentence Correction. EMNLP Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber
2017	J	`jnl`	Adapting Sequence Models for Sentence Correction. CoRR Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber
2017	J	`jnl`	Adversarially Regularized Autoencoders for Generating Discrete Structures. CoRR Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun
2017	A*	`conf`	Challenges in Data-to-Document Generation. EMNLP Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
2017	J	`jnl`	Challenges in Data-to-Document Generation. CoRR Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
2017	—	`conf`	Coarse-to-Fine Attention Models for Document Summarization. NFiS@EMNLP Jeffrey Ling, Alexander M. Rush
2017	A*	`conf`	Image-to-Markup Generation with Coarse-to-Fine Attention. ICML Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
2017	—	`conf`	Lie-Access Neural Turing Machines. ICLR (Poster) Greg Yang, Alexander M. Rush
2017	—	`conf`	OpenNMT: Open-Source Toolkit for Neural Machine Translation. ACL (System Demonstrations) Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
2017	J	`jnl`	OpenNMT: Open-Source Toolkit for Neural Machine Translation. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush
2017	J	`jnl`	OpenNMT: Open-source Toolkit for Neural Machine Translation. CoRR Guillaume Klein, Yoon Kim, Yuntian Deng, Josep Maria Crego, Jean Senellart, Alexander M. Rush
2017	—	`ed.`	Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017 SPNLP@EMNLP Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush
2017	—	`conf`	Structured Attention Networks. ICLR (Poster) Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush
2017	J	`jnl`	Structured Attention Networks. CoRR Yoon Kim, Carl Denton, Luong Hoang, Alexander M. Rush
2017	J	`jnl`	Weightless: Lossy Weight Encoding For Deep Neural Network Compression. CoRR Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David M. Brooks
2016	—	`conf`	Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. HLT-NAACL Sumit Chopra, Michael Auli, Alexander M. Rush
2016	A*	`conf`	An Embedding Model for Predicting Roll-Call Votes. EMNLP Peter Kraft, Hirsh Jain, Alexander M. Rush
2016	—	`conf`	Antecedent Prediction Without a Pipeline. CORBON@HLT-NAACL Sam Wiseman, Alexander M. Rush, Stuart M. Shieber
2016	A*	`conf`	Character-Aware Neural Language Models. AAAI Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush
2016	—	`conf`	Learning Global Features for Coreference Resolution. HLT-NAACL Sam Wiseman, Alexander M. Rush, Stuart M. Shieber
2016	J	`jnl`	Learning Global Features for Coreference Resolution. CoRR Sam Wiseman, Alexander M. Rush, Stuart M. Shieber
2016	J	`jnl`	Lie-Access Neural Turing Machines. CoRR Greg Yang, Alexander M. Rush
2016	—	`ed.`	Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016 SPNLP@EMNLP Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar
2016	—	`conf`	Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction. BEA@NAACL-HLT Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber
2016	J	`jnl`	Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction. CoRR Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber
2016	A*	`conf`	Sequence-Level Knowledge Distillation. EMNLP Yoon Kim, Alexander M. Rush
2016	J	`jnl`	Sequence-Level Knowledge Distillation. CoRR Yoon Kim, Alexander M. Rush
2016	A*	`conf`	Sequence-to-Sequence Learning as Beam-Search Optimization. EMNLP Sam Wiseman, Alexander M. Rush
2016	J	`jnl`	Sequence-to-Sequence Learning as Beam-Search Optimization. CoRR Sam Wiseman, Alexander M. Rush
2016	J	`jnl`	Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. CoRR Hendrik Strobelt, Sebastian Gehrmann, Bernd Huber, Hanspeter Pfister, Alexander M. Rush
2016	J	`jnl`	What You Get Is What You See: A Visual Markup Decompiler. CoRR Yuntian Deng, Anssi Kanervisto, Alexander M. Rush
2016	A*	`conf`	Word Ordering Without Syntax. EMNLP Allen Schmaltz, Alexander M. Rush, Stuart M. Shieber
2016	J	`jnl`	Word Ordering Without Syntax. CoRR Allen Schmaltz, Alexander M. Rush, Stuart M. Shieber
2015	A*	`conf`	A Fast Variational Approach for Learning Markov Random Field Language Models. ICML Yacine Jernite, Alexander M. Rush, David A. Sontag
2015	A*	`conf`	A Neural Attention Model for Abstractive Sentence Summarization. EMNLP Alexander M. Rush, Sumit Chopra, Jason Weston
2015	J	`jnl`	A Neural Attention Model for Abstractive Sentence Summarization. CoRR Alexander M. Rush, Sumit Chopra, Jason Weston
2015	J	`jnl`	Character-Aware Neural Language Models. CoRR Yoon Kim, Yacine Jernite, David A. Sontag, Alexander M. Rush
2015	—	`conf`	Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. ACL (1) Sam Wiseman, Alexander M. Rush, Stuart M. Shieber, Jason Weston
2015	—	`conf`	Transforming Dependencies into Phrase Structures. HLT-NAACL Lingpeng Kong, Alexander M. Rush, Noah A. Smith
2014	—	`conf`	A Constrained Viterbi Relaxation for Bidirectional Word Alignment. ACL (1) Yin-Wen Chang, Alexander M. Rush, John DeNero, Michael Collins
2014	J	`jnl`	A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. CoRR Alexander M. Rush, Michael Collins
2014	—	`—`	Lagrangian relaxation for natural language decoding. Alexander M. Rush
2013	A*	`conf`	Optimal Beam Search for Machine Translation. EMNLP Alexander M. Rush, Yin-Wen Chang, Michael Collins
2013	B	`conf`	Spectral Learning of Refinement HMMs. CoNLL Karl Stratos, Alexander M. Rush, Shay B. Cohen, Michael Collins
2012	J	`jnl`	A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. J. Artif. Intell. Res. Alexander M. Rush, Michael Collins
2012	—	`conf`	Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints. EMNLP-CoNLL Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson
2012	—	`conf`	Vine Pruning for Efficient Multi-Pass Dependency Parsing. HLT-NAACL Alexander M. Rush, Slav Petrov
2011	—	`conf`	Dual Decomposition for Natural Language Processing. ACL (Tutorial Abstracts) Michael Collins, Alexander M. Rush
2011	A*	`conf`	Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation. ACL Alexander M. Rush, Michael Collins
2010	A*	`conf`	Dual Decomposition for Parsing with Non-Projective Head Automata. EMNLP Terry Koo, Alexander M. Rush, Michael Collins, Tommi S. Jaakkola, David A. Sontag
2010	A*	`conf`	On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing. EMNLP Alexander M. Rush, David A. Sontag, Michael Collins, Tommi S. Jaakkola
2006	Misc	`conf`	Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation. AMTA Rebecca Nesson, Stuart M. Shieber, Alexander M. Rush