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TitleStatusHype
Reinforcing Pre-trained Models Using Counterfactual Images—0
LLMs Are Prone to Fallacies in Causal Inference—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
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality—0
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMsCode0
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance—0
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models—0
Towards Lifelong Dialogue Agents via Timeline-based Memory Management—0
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?—0
Ablation Based Counterfactuals—0
Counterfactual-based Root Cause Analysis for Dynamical Systems—0
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch TimeCode0
Test-Time Fairness and Robustness in Large Language Models—0
Training and Validating a Treatment Recommender with Partial Verification Evidence—0
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction SetsCode0
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive LearningCode0
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—0
Self-Distilled Disentangled Learning for Counterfactual PredictionCode0
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes—0
Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement LearningCode0
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks—0
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard—0
When does IV identification not restrict outcomes?—0
Towards Understanding the Influence of Training Samples on Explanations—0
Probing the Category of Verbal Aspect in Transformer Language Models—0
Do Cure Violence Programs Reduce Gun Violence? Evidence from New York City—0
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations—0
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding—0
Expected Grad-CAM: Towards gradient faithfulnessCode0
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal EffectCode0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
Reward Machines for Deep RL in Noisy and Uncertain EnvironmentsCode0
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals—0
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models—0
Probabilities of Causation for Continuous and Vector Variables—0
Watermarking Counterfactual ExplanationsCode0
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability—0
Counterfactual Metarules for Local and Global Recourse—0
Synthetic Potential Outcomes and Causal Mixture Identifiability—0
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed CounterfactualsCode0
CF-OPT: Counterfactual Explanations for Structured PredictionCode0
Counterfactual Explanations for Multivariate Time-Series without Training Datasets—0
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels—0
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows—0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
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