A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification
cs.AI, cs.CL
Submitted: 2026-10-01
Updated: 2026-10-01
Terminology
Sources
- Quantifying Attention Flow in Transformers
- AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
- On the Robustness of Interpretability Methods
- A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
- Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling
- Captum: A unified and generic model interpretability library for PyTorch
- The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
- Building Efficient Universal Classifiers with Natural Language Inference
- A Unified Approach to Interpreting Model Predictions
- Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
- Attention Is All You Need
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