T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP

31 August 2021

Papers citing "T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP"

5 / 5 papers shown

Title
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 18 23 0 24 Mar 2023
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models Hendrik Strobelt Albert Webson Victor Sanh Benjamin Hoover Johanna Beyer Hanspeter Pfister Alexander M. Rush VLM 25 135 0 16 Aug 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers Estelle Aflalo Meng Du Shao-Yen Tseng Yongfei Liu Chenfei Wu Nan Duan Vasudev Lal 23 45 0 30 Mar 2022
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,431 0 22 Aug 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017