| Towards LLM-guided Causal Explainability for Black-box Text Classifiers | Sep 23, 2023 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models | Sep 19, 2023 | Explanation GenerationLanguage Modelling | CodeCode Available | 0 |
| Reward Engineering for Generating Semi-structured Explanation | Sep 15, 2023 | Explanation GenerationReinforcement Learning (RL) | CodeCode Available | 0 |
| Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation | Sep 14, 2023 | Explanation Generation | —Unverified | 0 |
| Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations | Aug 30, 2023 | Explanation GenerationQuestion Answering | —Unverified | 0 |
| RecMind: Large Language Model Powered Agent For Recommendation | Aug 28, 2023 | Explanation GenerationLanguage Modeling | —Unverified | 0 |
| Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust | Aug 27, 2023 | AttributeExplanation Generation | —Unverified | 0 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 |
| Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability | Jul 27, 2023 | Explainable RecommendationExplanation Generation | CodeCode Available | 0 |
| Explaining Competitive-Level Programming Solutions using LLMs | Jul 11, 2023 | Code GenerationExplanation Generation | —Unverified | 0 |
