Good, Better, Best: Textual Distractors Generation for Multiple-Choice
Visual Question Answering via Reinforcement Learning

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning

21 October 2019

Yezhou Yang

Papers citing "Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning"

6 / 6 papers shown

Title
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation Yuhui Zhang Yuchang Su Yiming Liu Xiaohan Wang James Burgess ... Josiah Aklilu Alejandro Lozano Anjiang Wei Ludwig Schmidt Serena Yeung-Levy 64 3 0 06 Jan 2025
JourneyDB: A Benchmark for Generative Image Understanding Keqiang Sun Junting Pan Yuying Ge Hao Li Haodong Duan ... Yi Wang Jifeng Dai Yu Qiao Limin Wang Hongsheng Li 62 104 0 03 Jul 2023
Closed-book Question Generation via Contrastive Learning Xiangjue Dong Jiaying Lu Jianling Wang James Caverlee 42 8 0 13 Oct 2022
Semantically Distributed Robust Optimization for Vision-and-Language Inference Tejas Gokhale A. Chaudhary Pratyay Banerjee Chitta Baral Yezhou Yang 54 17 0 14 Oct 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 458 2,592 0 03 Sep 2019
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 167 1,465 0 06 Jun 2016