De-fine: Decomposing and Refining Visual Programs with Auto-Feedback

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback

21 November 2023

Hao Fei

Liang Pang

Wei Ji

Papers citing "De-fine: Decomposing and Refining Visual Programs with Auto-Feedback"

6 / 6 papers shown

Title
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 198 883 0 27 Apr 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay D. Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 107 616 0 22 Sep 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
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang Zhe Gan Jianfeng Wang Xiaowei Hu Yumao Lu Zicheng Liu Lijuan Wang 161 401 0 10 Sep 2021
Retrieval-Based Neural Code Generation Shirley Anugrah Hayati R. Olivier Pravalika Avvaru Pengcheng Yin A. Tomasic Graham Neubig 121 109 0 29 Aug 2018