| SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies | Apr 28, 2024 | counterfactualDeep Reinforcement Learning | CodeCode Available | 0 |
| Adversarial Distribution Balancing for Counterfactual Reasoning | Nov 28, 2023 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 |
| SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration | Sep 17, 2024 | Benchmarkingcounterfactual | CodeCode Available | 0 |
| THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models | Sep 17, 2024 | BenchmarkingBinary Classification | CodeCode Available | 0 |
| Addressing Both Statistical and Causal Gender Fairness in NLP Models | Mar 30, 2024 | counterfactualData Augmentation | CodeCode Available | 0 |
| Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement | Dec 8, 2022 | counterfactualObject | CodeCode Available | 0 |
| Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation | Jul 19, 2020 | counterfactualHeterogeneous Treatment Effect Estimation | CodeCode Available | 0 |
| Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments | Oct 28, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation | Feb 6, 2023 | counterfactualHeterogeneous Treatment Effect Estimation | CodeCode Available | 0 |
| Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products | Jul 24, 2019 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
