Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models
Fuente:
arXiv
Saved in:
| Main Authors: | Kibria, Md Raisul, Lafond, Sébastien, Arslan, Janan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention
by: Mohammad, Noor Islam S., et al.
Published: (2025)
by: Mohammad, Noor Islam S., et al.
Published: (2025)
Rethinking Explainability in the Era of Multimodal AI
by: Agarwal, Chirag
Published: (2025)
by: Agarwal, Chirag
Published: (2025)
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024)
by: Guarrasi, Valerio, et al.
Published: (2024)
STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
by: Islam, Md Mezbahul, et al.
Published: (2026)
by: Islam, Md Mezbahul, et al.
Published: (2026)
Robust Multimodal Safety via Conditional Decoding
by: Kumar, Anurag, et al.
Published: (2026)
by: Kumar, Anurag, et al.
Published: (2026)
On Speculative Decoding for Multimodal Large Language Models
by: Gagrani, Mukul, et al.
Published: (2024)
by: Gagrani, Mukul, et al.
Published: (2024)
Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification
by: Gupta, Shubham, et al.
Published: (2024)
by: Gupta, Shubham, et al.
Published: (2024)
MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor
by: Goffinet, Etienne, et al.
Published: (2023)
by: Goffinet, Etienne, et al.
Published: (2023)
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis
by: Luo, Miaosen, et al.
Published: (2025)
by: Luo, Miaosen, et al.
Published: (2025)
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)
by: Chiang, Sophie, et al.
Published: (2026)
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
by: Dembinsky, David, et al.
Published: (2025)
by: Dembinsky, David, et al.
Published: (2025)
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
by: Mai, Anh-Tuan, et al.
Published: (2026)
by: Mai, Anh-Tuan, et al.
Published: (2026)
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
by: Guarrasi, Valerio, et al.
Published: (2022)
by: Guarrasi, Valerio, et al.
Published: (2022)
Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
by: Wang, Zhan, et al.
Published: (2025)
by: Wang, Zhan, et al.
Published: (2025)
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
by: Jia, Yifan, et al.
Published: (2025)
by: Jia, Yifan, et al.
Published: (2025)
SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models
by: Liu, Junnan, et al.
Published: (2026)
by: Liu, Junnan, et al.
Published: (2026)
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow
by: Delestre, Cyrile, et al.
Published: (2024)
by: Delestre, Cyrile, et al.
Published: (2024)
How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis
by: Mostafa, Ahmed, et al.
Published: (2025)
by: Mostafa, Ahmed, et al.
Published: (2025)
Multimodal Foundation Models for Early Disease Detection
by: Mohsin, Md Talha, et al.
Published: (2025)
by: Mohsin, Md Talha, et al.
Published: (2025)
Multimodal Federated Learning in Healthcare: a Review
by: Thrasher, Jacob, et al.
Published: (2023)
by: Thrasher, Jacob, et al.
Published: (2023)
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
by: Mehdiyev, Nijat, et al.
Published: (2023)
by: Mehdiyev, Nijat, et al.
Published: (2023)
MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
by: Cha, Junyeop, et al.
Published: (2024)
by: Cha, Junyeop, et al.
Published: (2024)
FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition
by: Islam, Md. Milon, et al.
Published: (2025)
by: Islam, Md. Milon, et al.
Published: (2025)
Transformers Use Causal World Models in Maze-Solving Tasks
by: Spies, Alex F., et al.
Published: (2024)
by: Spies, Alex F., et al.
Published: (2024)
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
by: Uddin, Mohammad Amaz, et al.
Published: (2024)
by: Uddin, Mohammad Amaz, et al.
Published: (2024)
Causal Decoding for Hallucination-Resistant Multimodal Large Language Models
by: Tan, Shiwei, et al.
Published: (2026)
by: Tan, Shiwei, et al.
Published: (2026)
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
MusicLIME: Explainable Multimodal Music Understanding
by: Sotirou, Theodoros, et al.
Published: (2024)
by: Sotirou, Theodoros, et al.
Published: (2024)
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
by: Tang, Zhiqiang, et al.
Published: (2024)
by: Tang, Zhiqiang, et al.
Published: (2024)
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
by: Ali, Md Shahin, et al.
Published: (2024)
by: Ali, Md Shahin, et al.
Published: (2024)
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
by: Sun, Shilin, et al.
Published: (2024)
by: Sun, Shilin, et al.
Published: (2024)
Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning
by: Khorasani, Arian, et al.
Published: (2026)
by: Khorasani, Arian, et al.
Published: (2026)
Transforming Multimodal Models into Action Models for Radiotherapy
by: Ferrante, Matteo, et al.
Published: (2025)
by: Ferrante, Matteo, et al.
Published: (2025)
Disentanglement of Variations with Multimodal Generative Modeling
by: Zhang, Yijie, et al.
Published: (2025)
by: Zhang, Yijie, et al.
Published: (2025)
Scaling Law Hypothesis for Multimodal Model
by: Sun, Qingyun, et al.
Published: (2024)
by: Sun, Qingyun, et al.
Published: (2024)
A Concept-Based Explainability Framework for Large Multimodal Models
by: Parekh, Jayneel, et al.
Published: (2024)
by: Parekh, Jayneel, et al.
Published: (2024)
From Efficient Multimodal Models to World Models: A Survey
by: Mai, Xinji, et al.
Published: (2024)
by: Mai, Xinji, et al.
Published: (2024)
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
by: Cui, Jiali, et al.
Published: (2026)
by: Cui, Jiali, et al.
Published: (2026)
Similar Items
-
Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention
by: Mohammad, Noor Islam S., et al.
Published: (2025) -
Rethinking Explainability in the Era of Multimodal AI
by: Agarwal, Chirag
Published: (2025) -
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024) -
STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
by: Islam, Md Mezbahul, et al.
Published: (2026) -
Robust Multimodal Safety via Conditional Decoding
by: Kumar, Anurag, et al.
Published: (2026)