ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense

30 October 2023

Papers citing "ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense"

6 / 6 papers shown

Title
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation Dongryeol Lee Yerin Hwang Yongil Kim Joonsuk Park Kyomin Jung ELM 70 5 0 28 Oct 2024
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? Antonia Wüst Tim Nelson Tobiasch Lukas Helff Inga Ibs Wolfgang Stammer D. Dhami Constantin Rothkopf Kristian Kersting CoGe ReLM VLM LRM 59 1 0 25 Oct 2024
VLind-Bench: Measuring Language Priors in Large Vision-Language Models Kang-il Lee Minbeom Kim Seunghyun Yoon Minsung Kim Dongryeol Lee Hyukhun Koh Kyomin Jung CoGe VLM 84 5 0 13 Jun 2024
GlitchBench: Can large multimodal models detect video game glitches? Mohammad Reza Taesiri Tianjun Feng Anh Nguyen C. Bezemer MLLM VLM LRM 30 9 0 08 Dec 2023
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 206 899 0 27 Apr 2023
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images Nitzan Bitton-Guetta Yonatan Bitton Jack Hessel Ludwig Schmidt Yuval Elovici Gabriel Stanovsky Roy Schwartz VLM 121 65 0 13 Mar 2023