Minbeom Kim
- VLind-Bench: Measuring Language Priors in Large Vision-Language Models
2024/06/13 by Kang-il Lee, Minbeom Kim, Lee, Kang-il +11 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- VideoMamba: Spatio-Temporal Selective State Space Model
2024/07/11 by Jinyoung Park, Park, Jinyoung, Hee-Seon Kim +7 · 5 citations
Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Opinion Dynamics and Social Influence
- Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
2024/10/17 by Min, Kyungmin, Minbeom Kim, Kim, Minbeom +6 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare
- Guaranteed Generation from Large Language Models
2024/10/09 by Minbeom Kim, Kim, Minbeom, Thibaut Thonet +9 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Exploiting Vision Encoder Vulnerabilities for Universal Adversarial Perturbations on Large Vision-Language Models
2024/12/11 by Hee-Seon Kim, Minbeom Kim, Kim, Hee-Seon +4 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
- Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
2023/11/17 by Hee-Seon Kim, Minji Son, Kim, Hee-Seon +7 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research