Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Alexander M. Rush

Alexander M. Rush

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts



Stephen H. Bach , Victor Sanh , Zheng-Xin Yong , Albert Webson , Colin Raffel , Nihal V. Nayak , Abheesht Sharma , Taewoon Kim , M Saiful Bari , Thibault Fevry , Zaid Alyafeai , Manan Dey , Andrea Santilli , Zhiqing Sun , Srulik Ben-David , Canwen Xu , Gunjan Chhablani , Han Wang , Jason Alan Fries , Maged S. Al-shaibani , Shanya Sharma , Urmish Thakker , Khalid Almubarak , Xiangru Tang , Xiangru Tang , Mike Tian-Jian Jiang , Alexander M. Rush

Figure 1 for PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Figure 2 for PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Figure 3 for PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Figure 4 for PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

   Access Paper or Ask Questions

Low-Rank Constraints for Fast Inference in Structured Models



Justin T. Chiu , Yuntian Deng , Alexander M. Rush

Figure 1 for Low-Rank Constraints for Fast Inference in Structured Models
Figure 2 for Low-Rank Constraints for Fast Inference in Structured Models
Figure 3 for Low-Rank Constraints for Fast Inference in Structured Models
Figure 4 for Low-Rank Constraints for Fast Inference in Structured Models
* 22 pages. Published at NeurIPS 2021 
   Access Paper or Ask Questions

GenNI: Human-AI Collaboration for Data-Backed Text Generation



Hendrik Strobelt , Jambay Kinley , Robert Krueger , Johanna Beyer , Hanspeter Pfister , Alexander M. Rush

Figure 1 for GenNI: Human-AI Collaboration for Data-Backed Text Generation
Figure 2 for GenNI: Human-AI Collaboration for Data-Backed Text Generation
Figure 3 for GenNI: Human-AI Collaboration for Data-Backed Text Generation
Figure 4 for GenNI: Human-AI Collaboration for Data-Backed Text Generation
* IEEE VIS 2021 
   Access Paper or Ask Questions

Multitask Prompted Training Enables Zero-Shot Task Generalization



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 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 , Stella Biderman , Leo Gao , Tali Bers , Thomas Wolf , Alexander M. Rush

Figure 1 for Multitask Prompted Training Enables Zero-Shot Task Generalization
Figure 2 for Multitask Prompted Training Enables Zero-Shot Task Generalization
Figure 3 for Multitask Prompted Training Enables Zero-Shot Task Generalization
Figure 4 for Multitask Prompted Training Enables Zero-Shot Task Generalization
* https://github.com/bigscience-workshop/promptsource/ 
   Access Paper or Ask Questions

Rationales for Sequential Predictions



Keyon Vafa , Yuntian Deng , David M. Blei , Alexander M. Rush

Figure 1 for Rationales for Sequential Predictions
Figure 2 for Rationales for Sequential Predictions
Figure 3 for Rationales for Sequential Predictions
Figure 4 for Rationales for Sequential Predictions
* To appear in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) 
   Access Paper or Ask Questions

Block Pruning For Faster Transformers



François Lagunas , Ella Charlaix , Victor Sanh , Alexander M. Rush

Figure 1 for Block Pruning For Faster Transformers
Figure 2 for Block Pruning For Faster Transformers
Figure 3 for Block Pruning For Faster Transformers
Figure 4 for Block Pruning For Faster Transformers
* EMNLP 2021. Code, hyper-parameters, evaluation results and checkpoints available at https://github.com/huggingface/nn_pruning 
   Access Paper or Ask Questions

Datasets: A Community Library for Natural Language Processing



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 Šaško , 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

Figure 1 for Datasets: A Community Library for Natural Language Processing
Figure 2 for Datasets: A Community Library for Natural Language Processing
Figure 3 for Datasets: A Community Library for Natural Language Processing
* EMNLP Demo 2021 
   Access Paper or Ask Questions

Low-Complexity Probing via Finding Subnetworks



Steven Cao , Victor Sanh , Alexander M. Rush

Figure 1 for Low-Complexity Probing via Finding Subnetworks
Figure 2 for Low-Complexity Probing via Finding Subnetworks
Figure 3 for Low-Complexity Probing via Finding Subnetworks
Figure 4 for Low-Complexity Probing via Finding Subnetworks
* NAACL-HLT 2021 
   Access Paper or Ask Questions

How Many Data Points is a Prompt Worth?



Teven Le Scao , Alexander M. Rush

Figure 1 for How Many Data Points is a Prompt Worth?
Figure 2 for How Many Data Points is a Prompt Worth?
Figure 3 for How Many Data Points is a Prompt Worth?
Figure 4 for How Many Data Points is a Prompt Worth?
* NAACL HLT 2021 
   Access Paper or Ask Questions
1
2
3
4
5
6
7
>>