Explainability

ACE: Adapting sampling for Counterfactual Explanations L4DC 2026 Actionable Interpretability for Churn Classification: A Text Bottleneck Model Case Study at a Major Telecom Provider ACL 2026 A Lightweight Explainable Guardrail for Prompt Safety ACL 2026 ARGUS: Argumentation-Based Minimal-Change Repair for Verifiable LLM Self-Explanations UAI 2026 Attribution-Guided Model Rectification of Unreliable Neural Network Behaviors CVPR 2026 Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations CVPR 2026 BanHADEX: Towards Explainable HAte Speech Detection in Bangla Using Human Annotated EXplanation ACL 2026 Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations ACL 2026 Building a Bridge Between the Shapley Value, Prime Implicants and Counterfactual Explanations: a Theoretical Analysis UAI 2026 Causal Articulation Theory (CAT): Articulating Static and Temporal Causal Models Beyond LLM Rationalizations CLeaR 2026 cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context UAI 2026 CMR-RD: Long-Tailed Adaptive VLM for Explainable CMR Diagnosis CVPR 2026 DEFT: Demystifying VLN Failures via a Unified Dual-View Explainability Framework for LLM-based Agents ACL 2026 DeltaSHAP: a Shapley Value Framework for Interpreting Political Ambiguity SemEval 2026 Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study UAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 Estimation and Inference for Causal Explainability CLeaR 2026 Explainable Clustering of Mixture Models UAI 2026 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026 Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing MIDL 2026 Explaining Sources of Uncertainty in Automated Fact-Checking ACL 2026 Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection ACL 2026 Faithfulness Beyond Plausibility: Auditing Human Explanations in Educational Assessment ACL 2026 Faithful Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance ACL 2026 From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context ACL 2026