Semantic Anomaly Detection with Large Language Models

18 May 2023

Papers citing "Semantic Anomaly Detection with Large Language Models"

40 / 40 papers shown

Title
Vision Foundation Model Embedding-Based Semantic Anomaly Detection M. Ronecker Matthew Foutter Amine Elhafsi Daniele Gammelli Ihor Barakaiev Marco Pavone Daniel Watzenig 9 0 0 12 May 2025
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning Nvidia A. Azzolini Hannah Brandon Prithvijit Chattopadhyay Huayu Chen ... Yao Xu X. Yang Zhuolin Yang Xiaohui Zeng Z. Zhang LM&Ro LRM AI4CE 52 5 0 18 Mar 2025
Generating Robot Constitutions & Benchmarks for Semantic Safety P. Sermanet Anirudha Majumdar A. Irpan Dmitry Kalashnikov Vikas Sindhwani LM&Ro 58 0 0 11 Mar 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 46 0 0 14 Feb 2025
Foundation Models for Anomaly Detection: Vision and Challenges Jing Ren Tao Tang Hong Jia Haytham Fayek Xiaodong Li Suyu Ma Xiwei Xu Feng Xia 53 0 0 10 Feb 2025
DriveLM: Driving with Graph Visual Question Answering Chonghao Sima Katrin Renz Kashyap Chitta L. Chen Hanxue Zhang Chengen Xie Jens Beißwenger Ping Luo Andreas Geiger Hongyang Li 77 159 0 17 Jan 2025
Embodied Scene Understanding for Vision Language Models via MetaVQA Weizhen Wang Chenda Duan Zhenghao Peng Yuxin Liu Bolei Zhou LM&Ro 44 0 0 17 Jan 2025
Generating Out-Of-Distribution Scenarios Using Language Models Erfan Aasi Phat Nguyen Shiva Sreeram Guy Rosman S. Karaman Daniela Rus OODD 76 4 0 25 Nov 2024
Generative AI Agents in Autonomous Machines: A Safety Perspective Jason J. Jabbour Vijay Janapa Reddi AI4CE 36 3 0 20 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 27 0 0 11 Oct 2024
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia Rohan Sinha Jingyun Yang Zi-ang Cao Rika Antonova Marco Pavone Jeannette Bohg 26 6 0 06 Oct 2024
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing Yayati Jadhav P. Pak Amir Barati Farimani AI4CE 81 8 0 26 Aug 2024
Supervised Representation Learning towards Generalizable Assembly State Recognition Tim J. Schoonbeek Goutham Balachandran H. Onvlee Tim Houben Shao-Hsuan Hung Jacek Kustra Peter H. N. de With Fons van der Sommen 23 1 0 21 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes Sadia Ilyas Ido Freeman Matthias Rottmann ObjD 34 3 0 20 Aug 2024
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models Yuchen Yang Kwonjoon Lee Behzad Dariush Yinzhi Cao Shao-Yuan Lo LRM 34 11 0 14 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 32 4 0 11 Jul 2024
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving Ran Tian Boyi Li Xinshuo Weng Yuxiao Chen Edward Schmerling Yue Wang B. Ivanovic Marco Pavone 29 13 0 01 Jul 2024
Anomaly Detection of Tabular Data Using LLMs Aodong Li Yunhan Zhao Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 38 9 0 24 Jun 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 98 0 0 12 May 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection Luca Zanella Willi Menapace Massimiliano Mancini Yiming Wang Elisa Ricci VLM 16 4 0 01 Apr 2024
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data Yuting Guo Anthony Ovadje M. Al-garadi Abeed Sarker AI4MH 21 6 0 27 Mar 2024
Embodied Understanding of Driving Scenarios Yunsong Zhou Linyan Huang Qingwen Bu Jia Zeng Tianyu Li Hang Qiu Hongzi Zhu Minyi Guo Yu Qiao Hongyang Li LM&Ro 44 30 0 07 Mar 2024
Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving Mehdi Azarafza M. Nayyeri Charles Steinmetz Steffen Staab A. Rettberg LRM 28 9 0 21 Feb 2024
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets Ross Greer Mohan M. Trivedi 18 18 0 11 Feb 2024
Driving Everywhere with Large Language Model Policy Adaptation Boyi Li Yue Wang Jiageng Mao B. Ivanovic Sushant Veer Karen Leung Marco Pavone 21 29 0 08 Feb 2024
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives Sheng Luo Wei-Neng Chen Wanxin Tian Rui Liu Luanxuan Hou ... Ling Shao Yi Yang Bojun Gao Qun Li Guobin Wu 47 3 0 05 Feb 2024
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving Wencheng Han Dongqian Guo Cheng-Zhong Xu Jianbing Shen 13 25 0 08 Jan 2024
Prospective Role of Foundation Models in Advancing Autonomous Vehicles Jianhua Wu B. Gao Jincheng Gao Jianhao Yu Hongqing Chu ... Xun Gong Yi Chang H. E. Tseng Hong Chen Jie Chen 31 3 0 08 Dec 2023
Towards Knowledge-driven Autonomous Driving Xin Li Yeqi Bai Pinlong Cai Licheng Wen Daocheng Fu ... Yikang Li Botian Shi Yong-Jin Liu Liang He Yu Qiao 32 26 0 07 Dec 2023
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 24 463 0 04 Dec 2023
Vision Language Models in Autonomous Driving: A Survey and Outlook Xingcheng Zhou Mingyu Liu Ekim Yurtsever B. L. Žagar Walter Zimmer Hu Cao Alois C. Knoll VLM 15 33 0 22 Oct 2023
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT Yifan Zhang Cheng Wei Shangyou Wu Zhengting He Wenhao Yu 17 25 0 16 Jul 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 203 2,232 0 22 Mar 2023
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah B. Osinski Brian Ichter Sergey Levine LM&Ro 136 430 0 10 Jul 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 382 4,010 0 28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 168 870 0 21 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015