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Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models


Aug 16, 2022
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush

* 9 pages content, 2 pages references 

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


Feb 02, 2022
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


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Multitask Prompted Training Enables Zero-Shot Task Generalization


Oct 15, 2021
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

* https://github.com/bigscience-workshop/promptsource/ 

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Block Pruning For Faster Transformers


Sep 10, 2021
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush

* EMNLP 2021. Code, hyper-parameters, evaluation results and checkpoints available at https://github.com/huggingface/nn_pruning 

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Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning


Sep 09, 2021
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych

* Accepted at EMNLP 2021 

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Datasets: A Community Library for Natural Language Processing


Sep 07, 2021
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

* EMNLP Demo 2021 

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Low-Complexity Probing via Finding Subnetworks


Apr 08, 2021
Steven Cao, Victor Sanh, Alexander M. Rush

* NAACL-HLT 2021 

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Learning from others' mistakes: Avoiding dataset biases without modeling them


Dec 02, 2020
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush

* 15 pages, 6 figures, 6 tables 

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EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP


Dec 01, 2020
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei

* 11 pages plus references 

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Movement Pruning: Adaptive Sparsity by Fine-Tuning


May 15, 2020
Victor Sanh, Thomas Wolf, Alexander M. Rush

* 12 pages, 6 figures, 3 tables 

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