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TitleStatusHype
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis—0
Exploring Counterfactual Alignment Loss towards Human-centered AI—0
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
Extending counterfactual accounts of intent to include oblique intent—0
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
Extrapolating Away from the Cutoff in Regression Discontinuity Designs—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
FACE: Feasible and Actionable Counterfactual Explanations—0
FactorMatte: Redefining Video Matting for Re-Composition Tasks—0
FADES: Fair Disentanglement with Sensitive Relevance—0
fairadapt: Causal Reasoning for Fair Data Pre-processing—0
Fair Data Adaptation with Quantile Preservation—0
Fair Effect Attribution in Parallel Online Experiments—0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System—0
Fair Graph Neural Network with Supervised Contrastive Regularization—0
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals—0
Fair inference on error-prone outcomes—0
Fairness Aware Counterfactuals for Subgroups—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Fairness Testing through Extreme Value Theory—0
Fairness through Equality of Effort—0
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations—0
FairPFN: Transformers Can do Counterfactual Fairness—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Faithful Counterfactual Visual Explanations (FCVE)—0
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals—0
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations—0
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Fast Model Debias with Machine Unlearning—0
Fast Real-time Counterfactual Explanations—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints—0
Feature Attributions and Counterfactual Explanations Can Be Manipulated—0
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI—0
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization—0
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding—0
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals—0
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis—0
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