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Counterfactual Reasoning

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Showing 51–100 of 219 papers

TitleStatusHype
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation—0
Backtracking Counterfactuals—0
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Computational Grounding of Responsibility Attribution and Anticipation in LTLf—0
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation—0
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models—0
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models—0
Counterfactual Collaborative Reasoning—0
Case Level Counterfactual Reasoning in Process Mining—0
Counterfactual Evaluation for Explainable AI—0
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs—0
Counterfactual Explanation for Fairness in Recommendation—0
Kindness in Multi-Agent Reinforcement Learning—0
Counterfactual harm—0
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning—0
From Database Repairs to Causality in Databases and Beyond—0
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals—0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models—0
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space—0
GCAM: Gaussian and causal-attention model of food fine-grained recognition—0
Causal policy ranking—0
Asymmetrical Latent Representation for Individual Treatment Effect Modeling—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning—0
Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey—0
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks—0
Exploring Logically Dependent Multi-task Learning with Causal Inference—0
fairadapt: Causal Reasoning for Fair Data Pre-processing—0
Causal Inference with Latent Variables: Recent Advances and Future Prospectives—0
Explaining Recommendation System Using Counterfactual Textual Explanations—0
Advancing Counterfactual Inference through Nonlinear Quantile Regression—0
Counterfactuals Modulo Temporal Logics—0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
Counterfactual thinking in cooperation dynamics—0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling—0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler—0
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome—0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference—0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
Causal Image Synthesis of Brain MR in 3D—0
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS—0
Deep Convolutional Neural Networks for Pairwise Causality—0
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation—0
Cause and Effect: Can Large Language Models Truly Understand Causality?—0
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines—0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
Distribution-consistency Structural Causal Models—0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology—0
Counterfactual Reasoning for Fair Clinical Risk Prediction—0
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies—0
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