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TitleStatusHype
Uncovering the Source of Machine Bias—0
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning—0
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making—0
On the Cause of Unfairness: A Training Sample Perspective—0
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation—0
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping—0
Unified Merger List in the Container Shipping Industry from 1966 to 2022: A Structural Estimation of M&A Matching—0
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—0
Unifying (Machine) Vision via Counterfactual World Modeling—0
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels—0
Uninformative Input Features and Counterfactual Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Unit Selection: Case Study and Comparison with A/B Test Heuristic—0
Universal Inference for Incomplete Discrete Choice Models—0
Unlocking the Potential of Deep Counterfactual Value Networks—0
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision—0
Unsupervised dense retrieval with conterfactual contrastive learning—0
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding—0
Unsupervised Model Diagnosis—0
Unsupervised Structural-Counterfactual Generation under Domain Shift—0
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA—0
Unveiling the Potential of Counterfactuals Explanations in Employability—0
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits—0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
Use-Case-Grounded Simulations for Explanation Evaluation—0
User Strategization and Trustworthy Algorithms—0
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