MultiQG-TI: Towards Question Generation from Multi-modal Sources

MultiQG-TI: Towards Question Generation from Multi-modal Sources

7 July 2023

Richard Baraniuk

Papers citing "MultiQG-TI: Towards Question Generation from Multi-modal Sources"

5 / 5 papers shown

Title
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark A. Kalyan ELM ReLM LRM 198 1,089 0 20 Sep 2022
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners Zhenhailong Wang Manling Li Ruochen Xu Luowei Zhou Jie Lei ... Chenguang Zhu Derek Hoiem Shih-Fu Chang Mohit Bansal Heng Ji MLLM VLM 167 134 0 22 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints Zichao Wang Andrew S. Lan Richard G. Baraniuk 45 43 0 09 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020