Explainability
142 papers
Papers per year
2
2
7
11
11
6
41
62
'20
'25
Papers
FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI
MIDL 2026
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
ACL 2026
Global Information Thresholding for Sufficient and Necessary Circuits
CVPR 2026
Hidden Monotonicity: Explaining Deep Neural Networks via their DC Decomposition
CVPR 2026
Interpreto: An Explainability Library for Transformers
ACL 2026
Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization
ACL 2026
JobMatchAI - An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
ACL 2026
LVLM-Aided Alignment of Task-Specific Vision Models
CVPR 2026
Making the Classification Explanation Faithful to the Confidence Score
CVPR 2026
MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations
CVPR 2026
Measuring the (Un)Faithfulness of Concept-Based Explanations
CVPR 2026
MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
ACL 2026
mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models
ACL 2026
NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons
ACL 2026
Nonlinear Axiomatic Attribution for Cooperative Games
UAI 2026
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
ACL 2026
Pareto-Optimal Probabilistic Explanations: Balancing Cognitive Constraints and User Preferences
UAI 2026
PR-XAI: PageRank-Based Feature Attribution for Transformers
ACL 2026
Quantifying and Understanding Uncertainty in Large Reasoning Models
ACL 2026
RECAP: Resistance Capture in Text-based Mental Health Counseling with Large Language Models
CoNLL 2026
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
ACL 2026
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
ACL 2026
Robust Explanations for User Trust in Enterprise NLP Systems
ACL 2026
Rounded or Streamlined Head? Bridging Concept Bottleneck Models and Attribute-Described Object Parts
CVPR 2026