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TitleStatusHype
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference—0
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual AugmentationCode0
Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident NarrativesCode0
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads—0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Learning Structural Causal Models from Ordering: Identifiable Flow Models—0
A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis—0
Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation—0
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation—0
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Political-LLM: Large Language Models in Political Science—0
Charting the Shapes of Stories with Game Theory—0
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNACode1
Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes—0
Estimating the treatment effect over time under general interference through deep learner integrated TMLE—0
Towards counterfactual fairness through auxiliary variablesCode0
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data—0
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned FactsCode0
MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM—0
MACAW: A Causal Generative Model for Medical ImagingCode0
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