conftrace_

shapley additive explanation

11 papers

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Also known as

SHAP

Co-occurring keywords · papers mentioning both

explainable artificial intelligence (2) shapley value (2) model explanation (2) natural language processing (2) feature effect (1) linguistic complexity (1) adversarial attack detection (1) nlp explainability (1) text classifier (1) word-level attack (1)

Papers

Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study UAI 2026 ILab-NLP at SemEval-2026 Task 9: Comparing XLM-RoBERTa and LLaMA-2 for Multilingual Polarization Detection SemEval 2026 On the Computational Tractability of the (Many) Shapley Values AISTATS 2025 An Explainable Approach to Understanding Gender Stereotype Text ACL 2024 Decomposing Global Feature Effects Based on Feature Interactions JMLR 2024 Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese NAACL 2024 Interpretable data-driven model predictive control of building energy systems using SHAP L4DC 2024 K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs ICML 2023 Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations ACL 2022 SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022 A Unified Approach to Interpreting Model Predictions NeurIPS 2017