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TitleStatusHype
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems—0
Applications of 0-1 Neural Networks in Prescription and Prediction—0
AKEW: Assessing Knowledge Editing in the WildCode0
Longitudinal Counterfactuals: Constraints and Opportunities—0
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect EstimatorsCode0
Cause and Effect: Can Large Language Models Truly Understand Causality?—0
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations—0
Hybrid^2 Neural ODE Causal Modeling and an Application to Glycemic ResponseCode0
Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability—0
Introducing User Feedback-based Counterfactual Explanations (UFCE)Code0
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach—0
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision—0
Counterfactual Generation with Identifiability GuaranteesCode0
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models—0
Reimagining Anomalies: What If Anomalies Were Normal?—0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
On the Arrow of Inference—0
Do Large Language Models Understand Logic or Just Mimick Context?—0
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data—0
Cofca: A Step-Wise Counterfactual Multi-hop QA benchmark—0
M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation—0
Generating Survival Interpretable Trajectories and DataCode0
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization—0
Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching abilityCode0
A Practical Method for Generating String CounterfactualsCode0
Explainability for Machine Learning Models: From Data Adaptability to User Perception—0
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice—0
Identification with Posterior-Separable Information Costs—0
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models—0
The Effect of Data Poisoning on Counterfactual ExplanationsCode0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Counterfactual Influence in Markov Decision ProcessesCode0
One-for-many Counterfactual Explanations by Column Generation—0
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models—0
SportsNGEN: Sustained Generation of Realistic Multi-player Sports Gameplay—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Game-theoretic Counterfactual Explanation for Graph Neural Networks—0
Collective Counterfactual Explanations via Optimal Transport—0
Explaining Learned Reward Functions with Counterfactual TrajectoriesCode0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines—0
Counterfactual Generation with Answer Set Programming—0
The Role of Child Gender in the Formation of Parents' Social Networks—0
In-context learning agents are asymmetric belief updaters—0
Recommendation Fairness in Social Networks Over Time—0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating—0
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