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TitleStatusHype
Privacy Implications of Explainable AI in Data-Driven Systems—0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services—0
Causal Inference with Latent Variables: Recent Advances and Future Prospectives—0
An agent-based model of behaviour change calibrated to reversal learning dataCode0
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningCode0
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use InferenceCode0
Reinforcing Pre-trained Models Using Counterfactual Images—0
Interpreting Bias in Large Language Models: A Feature-Based Approach—0
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs—0
LLMs Are Prone to Fallacies in Causal Inference—0
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models—0
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMsCode0
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance—0
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality—0
Towards Lifelong Dialogue Agents via Timeline-based Memory Management—0
IG2: Integrated Gradient on Iterative Gradient Path for Feature AttributionCode1
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?—0
VLind-Bench: Measuring Language Priors in Large Vision-Language ModelsCode1
Counterfactual-based Root Cause Analysis for Dynamical Systems—0
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch TimeCode0
Ablation Based Counterfactuals—0
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in VideosCode1
Test-Time Fairness and Robustness in Large Language Models—0
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