Efficient End-to-End Visual Document Understanding with Rationale
Distillation

Efficient End-to-End Visual Document Understanding with Rationale Distillation

16 November 2023

Robin Jia

Kristina Toutanova

Papers citing "Efficient End-to-End Visual Document Understanding with Rationale Distillation"

5 / 5 papers shown

Title
LMDX: Language Model-based Document Information Extraction and Localization Vincent Perot Kai Kang Florian Luisier Guolong Su Xiaoyu Sun ... Zifeng Wang Jiaqi Mu Hao Zhang Chen-Yu Lee Nan Hua 48 29 0 19 Sep 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 206 499 0 03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation Jamie Yap Zhengyang Wang Zheng Li K. Lynch Bing Yin Xiang Ren LRM 57 92 0 03 May 2023
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding Kenton Lee Mandar Joshi Iulia Turc Hexiang Hu Fangyu Liu Julian Martin Eisenschlos Urvashi Khandelwal Peter Shaw Ming-Wei Chang Kristina Toutanova CLIP VLM 158 263 0 07 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,236 0 21 Mar 2022