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TitleStatusHype
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning—0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
Faithful and Robust Local Interpretability for Textual PredictionsCode0
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningCode0
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising DiffusionCode1
A General Neural Causal Model for Interactive Recommendation—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Counterfactually Probing Language Identity in Multilingual ModelsCode0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Optimal Transport for Treatment Effect Estimation—0
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy EvaluationCode0
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term—0
Counterfactual Fairness for Predictions using Generative Adversarial Networks—0
Causality-Inspired Fair Representation Learning for Multimodal RecommendationCode1
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box ModelsCode0
Characterizing Mechanisms for Factual Recall in Language Models—0
Machine Learning and Knowledge: Why Robustness Matters—0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanationsCode1
Counterfactual Explanation Generation with s(CASP)—0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content ModeratorsCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Counterfactual Prediction Under Selective ConfoundingCode0
Co^2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt TuningCode0
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