Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis

27 August 2024

Papers citing "Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis"

5 / 5 papers shown

Title
How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark Ximing Wen Mallika Mainali Anik Sen 42 0 0 28 Mar 2025
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 Ashwin Kalyan ELM ReLM LRM 211 1,113 0 20 Sep 2022
LAVIS: A Library for Language-Vision Intelligence Dongxu Li Junnan Li Hung Le Guangsen Wang Silvio Savarese Guosheng Lin VLM 131 51 0 15 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 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 369 12,003 0 04 Mar 2022