Interpretability

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations EMNLP 2023 InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions EMNLP 2023 Interpretability and Fairness in Machine Learning: A Formal Methods Approach IJCAI 2023 Interpretability at Scale: Identifying Causal Mechanisms in Alpaca NeurIPS 2023 Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small ICLR 2023 Interpretability with full complexity by constraining feature information ICLR 2023 Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction NeurIPS 2023 Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023 Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery AAAI 2023 Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization ICLR 2023 Interpretable Graph Networks Formulate Universal Algebra Conjectures NeurIPS 2023 Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023 Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract) IJCAI 2023 Interpretable Math Word Problem Solution Generation via Step-by-step Planning ACL 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Interpretable Neural-Symbolic Concept Reasoning ICML 2023 Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023 Interpretable Prototype-based Graph Information Bottleneck NeurIPS 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023 Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning EMNLP 2023 Interpreting Embedding Spaces by Conceptualization EMNLP 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction NeurIPS 2023 InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations EMNLP 2023