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LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions

26 March 2025

Papers citing "LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions"

26 / 26 papers shown

Title
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality Zehao Liu Mengzhou Gao Pengfei Jiao CML AI4TS 79 3 0 23 Jan 2025
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem Declan Campbell Sunayana Rane Tyler Giallanza Nicolò De Sabbata Kia Ghods ... Alexander Ku Steven M. Frankland Thomas Griffiths Jonathan D. Cohen Taylor W. Webb 106 17 0 31 Oct 2024
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations Nick Jiang Anish Kachinthaya Suzie Petryk Yossi Gandelsman VLM 83 28 0 03 Oct 2024
Interactive Explainable Anomaly Detection for Industrial Settings Daniel Gramelt Timon Höfer Ute Schmid AAML HAI 107 1 0 01 Oct 2024
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types Neelabh Sinha Vinija Jain Aman Chadha 61 3 0 14 Sep 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail Bianca Lamm Janis Keuper 79 2 0 28 Aug 2024
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison Qian Yang Weixiang Yan Aishwarya Agrawal CoGe 54 4 0 10 Jul 2024
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection Yiheng Zhang Yunkang Cao Xiaohao Xu Nong Sang 64 18 0 07 Jun 2024
Why are Visually-Grounded Language Models Bad at Image Classification? Yuhui Zhang Alyssa Unell Xiaohan Wang Dhruba Ghosh Yuchang Su Ludwig Schmidt Serena Yeung-Levy VLM 85 37 0 28 May 2024
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling Sangryul Kim Donghee Han Sehyun Kim 62 3 0 25 Apr 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection Soopil Kim Sion An Philip Chikontwe Myeongkyun Kang Ehsan Adeli K. Pohl Sanghyun Park 72 18 0 21 Dec 2023
Improved Baselines with Visual Instruction Tuning Haotian Liu Chunyuan Li Yuheng Li Yong Jae Lee VLM MLLM 160 2,817 0 05 Oct 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection Yujin Lee Harin Lim Seoyoon Jang H. Yoon 65 4 0 24 Jul 2023
Lost in the Middle: How Language Models Use Long Contexts Nelson F. Liu Kevin Lin John Hewitt Ashwin Paranjape Michele Bevilacqua Fabio Petroni Percy Liang RALM 111 1,633 0 06 Jul 2023
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Tongkun Liu Bing Li Xiao Du Bingke Jiang Xiao Jin Liuyi Jin Zhu Zhao 81 28 0 15 May 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 76 141 0 25 Mar 2023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection Shilong Liu Zhaoyang Zeng Tianhe Ren Feng Li Hao Zhang ... Chun-yue Li Jianwei Yang Hang Su Jun Zhu Lei Zhang ObjD 191 2,015 0 09 Mar 2023
Deep Industrial Image Anomaly Detection: A Survey Jiaqi Liu Guoyang Xie Jingbao Wang Shangwen Li Chengjie Wang Feng Zheng Yaochu Jin 102 187 0 27 Jan 2023
Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 183 895 0 03 Nov 2022
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt 102 138 0 14 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 105 78 0 13 Oct 2022
A general-purpose method for applying Explainable AI for Anomaly Detection John Sipple Abdou Youssef 69 17 0 23 Jul 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 124 830 0 11 Jul 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 529 4,077 0 24 May 2022
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 919 0 15 Jun 2021
Towards Few-Shot Fact-Checking via Perplexity Nayeon Lee Yejin Bang Andrea Madotto Madian Khabsa Pascale Fung AAML 42 93 0 17 Mar 2021