Cover Image

Enhancing Explainability in Multimodal Large Language Models Using Ontological Context

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amara, Jihen, König-Ries, Birgitta, Samuel, Sheeba
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
by: Amara, Jihen, et al.
Published: (2024)

Dynamic Mask-Based Backdoor Attack Against Vision AI Models: A Case Study on Mushroom Detection
by: Dridi, Zeineb, et al.
Published: (2026)

FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models
by: Wang, Hongyang, et al.
Published: (2025)

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
by: Qi, Peng, et al.
Published: (2024)

Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language Models
by: Arnold, Taylor, et al.
Published: (2024)

Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective
by: Lei, Lei, et al.
Published: (2025)

Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models
by: Yuxuan, Cao, et al.
Published: (2025)

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models
by: Tan, Chuangchuang, et al.
Published: (2025)

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
by: Huang, Zhuo, et al.
Published: (2023)

Explainable Parkinsons Disease Gait Recognition Using Multimodal RGB-D Fusion and Large Language Models
by: Alnaasan, Manar, et al.
Published: (2025)

Large Multimodal Models as General In-Context Classifiers
by: Garosi, Marco, et al.
Published: (2026)

DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding
by: Yu, Wenwen, et al.
Published: (2025)

Kosmos-G: Generating Images in Context with Multimodal Large Language Models
by: Pan, Xichen, et al.
Published: (2023)

CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models
by: Zhou, Nan, et al.
Published: (2026)

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
by: Zhou, Ziyin, et al.
Published: (2025)

Personal Visual Context Learning in Large Multimodal Models
by: Xue, Zihui, et al.
Published: (2026)

Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models
by: Luo, Katie, et al.
Published: (2025)

CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models
by: Luo, Fuwen, et al.
Published: (2024)

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
by: Chen, Junkai, et al.
Published: (2025)

Context-Enhanced Video Moment Retrieval with Large Language Models
by: Liu, Weijia, et al.
Published: (2024)

Towards Multimodal In-Context Learning for Vision & Language Models
by: Doveh, Sivan, et al.
Published: (2024)

Enhancing Single-Image Facial Demorphing using Multimodal Large Language Models
by: Shukla, Nitish, et al.
Published: (2026)

Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
by: Zhang, Guosheng, et al.
Published: (2025)

CaMML: Context-Aware Multimodal Learner for Large Models
by: Chen, Yixin, et al.
Published: (2024)

MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
by: Liang, Hao, et al.
Published: (2024)

ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
by: Wu, Mengyang, et al.
Published: (2024)

MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models
by: Xu, Wenbo, et al.
Published: (2026)

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
by: Li, Qingqiu, et al.
Published: (2025)

Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models
by: Liu, Siqi, et al.
Published: (2026)

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
by: Ning, Zhenhua, et al.
Published: (2025)

Fork-Merge Decoding: Enhancing Multimodal Understanding in Audio-Visual Large Language Models
by: Jung, Chaeyoung, et al.
Published: (2025)

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
by: Pangtey, Lata, et al.
Published: (2025)

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training
by: Nie, Yuxiang, et al.
Published: (2025)

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
by: Chen, Junkai, et al.
Published: (2026)

Semantic Alignment for Multimodal Large Language Models
by: Wu, Tao, et al.
Published: (2024)

Leveraging Large Language Models for Multimodal Search
by: Barbany, Oriol, et al.
Published: (2024)

Multimodal Large Language Models as Image Classifiers
by: Kisel, Nikita, et al.
Published: (2026)

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
by: Sun, Yiming, et al.
Published: (2024)

CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
by: Ye, Qilang, et al.
Published: (2024)

Vision-Enhanced Large Language Models for High-Resolution Image Synthesis and Multimodal Data Interpretation
by: KV, Karthikeya
Published: (2025)