My full list of papers is here.

Guess and Sketch: Language Model Guided Transpilation
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush.

Zephyr: Direct Distillation of LM Alignment
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.

Symbolic Planning and Code Generation for Grounded Dialogue
Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried.
EMNLP 2023

Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu.

Text Embeddings Reveal (Almost) As Much As Text
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush.
EMNLP 2023

Tree Prompting: Efficient Task Adaptation without Fine-Tuning
John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng.
EMNLP 2023

HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush.
EMNLP 2023

Pretraining Without Attention
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush.
EMNLP 2023 Findings

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.
NeurIPS 2023 (Oral)

OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
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.
NeurIPS 2023 Dataset

Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush.
ACL 2023

Markup-to-Image Diffusion Models with Scheduled Sampling
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush.
ICLR 2023

A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management
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.
ISSCC 2023

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop.
Arxiv Preprint

Named Tensor Notation
David Chiang, Alexander M. Rush, Boaz Barak.
TMLR 2022

Xatu: boosting existing DDoS detection systems using auxiliary signals
Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander Rush, Jelena Mirkovic, Minlan Yu.
CoNEXT 2022

Unsupervised Text Deidentification
John X Morris, Justin T Chiu, Ramin Zabih, Alexander M Rush.
EMNLP Findings 2022

Model Criticism for Long-Form Text Generation
Yuntian Deng, Volodymyr Kuleshov, Alexander M Rush.
EMNLP 2022

Evaluate and Evaluation on the Hub: Better Best Practices for Data and Model Measurement
Leandro von Werra et al..
EMNLP Demos 2022 (Best Demo)

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendik Strobelt et al..
IEEE Trans on Visualization 2022

A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
Thierry Tambe et al..
IEEE Solid-State Circuits 2022

Promptsource: An integrated development environment and repository for natural language prompts
Stephen Bach et al..
ACL Demo 2022

End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman
Samantha Petti, et al..

Multitask prompted training enables zero-shot task generalization
Victor Sanh, et al..
ICLR 2022

Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Stanislav Lukyanenko et al..

Rationales for sequential predictions
Keyon Vafa, Yuntian Deng, David Blei, Alexander Rush.
EMNLP 2021

Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu, Yuntian Deng, and Alexander M. Rush.
NeurIPS 2021

Conference demographics and footprint changed by virtual platforms
Matthe Skiles et al..
Nature Sustainability

Sequence-to-Lattice Models for Fast Translation
Yuntian Deng and Alexander M. Rush.
EMNLP Findings Short 2021

Datasets: A Community Library for Natural Language Processing
Quentin Lhoest et al.
EMNLP Demos 2021 (Best Demo)

EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
Thierry Tambe and Others.

GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt, Jambay Kinley, Robert Krueger, Johanna Beyer, Alexander M. Rush, Hanspeter Pfister.

Parameter-efficient transfer learning with diff pruning
Demi Guo, Alexander M. Rush, Yoon Kim.
ACL 2021

How many data points is a prompt worth?
Teven Le Scao, Alexander M. Rush.
NAACL Short 2021 (Best Paper - Runner-Up)

Block pruning for faster transformers
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M Rush.
ACL 2021

Low-Complexity Probing via Finding Subnetworks
Steven Cao, Victor Sanh, Alexander M. Rush.
NAACL Short 2021

Template Filling with Generative Transformers
Xinya Du, Alexander M. Rush, Claire Cardie.
NAACL Short 2021

9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET
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.
IEEE International Solid-State Circuits Conference 2021

Cascaded Text Generation with Markov Transformers
Yuntian Deng, Alexander M. Rush.
NeurIPS 2020

Latent Template Induction with Gumbel-CRFs
Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander Rush.
NeurIPS 2020

Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander M. Rush.
NeurIPS 2020

Scaling Hidden Markov Language Models
Justin T. Chiu, Alexander M. Rush.
EMNLP 2020

Adversarial Semantic Collisions
Congzheng Song, Alexander M. Rush, Vitaly Shmatikov.
EMNLP 2020

Sequence-Level Mixed Sample Data Augmentation
Demi Guo, Yoon Kim, Alexander M. Rush.
EMNLP 2020

AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David Brooks, Gu-Yeon Wei.
DAC 2020 (Best Paper)

Transformers: State-of-the-art Natural Language Processing
Thomas Wolf et al.
EMNLP Demos 2020 (Best Demo)

Torch-Struct: Deep Structured Prediction Library
Alexander Rush.
ACL Demos 2020 (Best Demo Honorable Mention)

What is Learned in Visually Grounded Neural Syntax Acquisition
Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi.
ACL 2020 (Short)

Posterior Control of Blackbox Generation
Xiang Lisa Li, Alexander M. Rush.
ACL 2020

Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu.
AutoML for Networking and Systems Workshop

LAN -- A materials notation for 2D layered assemblies
Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, Efthimios Kaxiras.

MASR: A Modular Accelerator for Sparse RNNs
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks.
PACT 2019

Commonsense Knowledge Mining from Pretrained Models
Joe Davison, Joshua Feldman and Alexander Rush.
EMNLP 2019

Neural Linguistic Steganography
Zachary Ziegler, Yuntian Deng and Alexander Rush.
EMNLP 2019

Compound Probabilistic Context-Free Grammars for Grammar Induction
Yoon Kim, Chris Dyer, Alexander M. Rush.
ACL 2019

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Gehrmann S, Strobelt H, Krueger R, Pfister H, and Alexander M. Rush.
InfoVis 2019

Simple Unsupervised Summarization by Contextual Matching
Jiawei Zhou, Alexander M. Rush.
ACL 2019

GLTR: Statistical Detection and Visualization of Generated Text
Sebastian Gehrmann, Hendrik Strobelt, Alexander M Rush.
ACL Demo 2019 (Best Demo Honorable Mention)

Unsupervised Recurrent Neural Network Grammars
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gabor Melis.
NAACL 2019

Avoiding Latent Variable Collapse With Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei.

Tensor Variable Elimination for Plated Factor Graphs
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin Chiu, Neeraj Pradhan, Alexander Rush, Noah Goodman.
ICML 2019

Latent Normalizing Flows for Discrete Sequences
Zachary M. Ziegler, Alexander M. Rush.
ICML 2019

Deep Latent-Variable Models for Natural Language
Yoon Kim, Sam Wiseman, Alexander M. Rush.
EMNLP 2018 (Tutorial)

End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann, Falcon Z. Dai, Henry Elder, Alexander M. Rush.
INLG 2018

Latent Alignment and Variational Attention
Yuntian Deng*, Yoon Kim*, Justin Chiu, Demi Guo, Alexander M. Rush.
NIPS 2018

Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander Rush.
EMNLP 2018

Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander Rush.
EMNLP 2018

Training for Diversity in Image Paragraph Captioning
Luke Melas-Kyriazi, George Han, Alexander Rush.
EMNLP 2018 (Short)

Entity Tracking Improves Cloze-style Reading Comprehension
Luong Hoang, Sam Wiseman, Alexander Rush.
EMNLP 2018 (Short)

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush.
VAST 2018, EMNLP-BlackBox 2018 (Best Paper - Honorable Mention)

The Annotated Transformer
Alexander M. Rush.

OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU
Jean Senellart, Dakun Zhang, Bo Wang, Guillaume Klein, J.P. Ramatchandirin, Josep Crego, Alexander M. Rush.
WNMT 2018 (First-Place CPU Speed/Memory)

Semi-Amortized Variational Autoencoders
Yoon Kim, Sam Wiseman, Andrew C. Miller, David Sontag, Alexander M. Rush.
ICML 2018

Compressing Deep Neural Networks with Probabilistic Data Structures
Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks.
ICML 2018, SysML 2018

Adapting Sequence Models for Sentence Correction
Allen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber.
EMNLP 2017

Challenges in Data-to-Document Generation
Sam Wiseman, Stuart M Shieber Alexander M. Rush.
EMNLP 2017

Adversarially Regularized Autoencoders
Junbo Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun.
ICML 2018, NIPS 2017 Workshop

OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush.
ACL Demo 2017 (Best Demo Runner-up)

Dilated Convolutions for Modeling Long-Distance Genomic Dependencies
Ankit Gupta, Alexander M. Rush.
ICML CompBio 2017 (Best Poster)

Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, and Alexander M. Rush.
ICML 2017

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, and Alexander M. Rush.
InfoVis 2017

Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush.
ICLR 2017

Lie-Access Neural Turing Machines
Greg Yang and Alexander M. Rush.
ICLR 2017

Sequence-Level Knowledge Distillation
Yoon Kim and Alexander M. Rush.
EMNLP 2016

Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman and Alexander M. Rush.
EMNLP 2016 (Best Paper Runner-Up)

An Embedding Model for Predicting Roll-Call Votes
Peter Kraft, Hirsh Jain, and Alexander M. Rush.
Proceedings of EMNLP 2016

Word Ordering Without Syntax
Allen Schmaltz, Alexander M. Rush, and Stuart M. Shieber.
EMNLP 2016

Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
Allen Schmaltz, Yoon Kim, Alexander M. Rush, and Stuart M. Shieber.
Workshop Submission for AESW 2016 (Top Performing System)

Learning Global Features for Coreference Resolution
Sam Wiseman, Alexander M. Rush, and Stuart M. Shieber.
NAACL 2016

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra, Michael Auli, and Alexander M. Rush.
NAACL 2016

Character-Aware Neural Language Models
Yoon Kim, Yacine Jernite, David Sontag, and Alexander M. Rush.
AAAI 2016

A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston.
EMNLP 2015.

Towards AI-Complete Question Answering A Set of Prerequisite Toy Tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Tomas Mikolov, and Alexander M. Rush.
ArXiv Preprint

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
Sam Wiseman, Alexander M. Rush, Jason Weston, and Stuart M. Shieber.
ACL 2015.

A Fast Variational Approach for Learning Markov Random Field Language Models
Yacine Jernite, Alexander M. Rush, and David Sontag.
ICML 2015.

Transforming Dependencies into Phrase Structures
Lingpeng Kong, Alexander M. Rush, and Noah A. Smith.
NAACL 2015.

PhD Publications