Interpretability

Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 Explaining Arguments’ Strength: Unveiling the Role of Attacks and Supports IJCAI 2024 Explaining Datasets in Words: Statistical Models with Natural Language Parameters NeurIPS 2024 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Explaining Graph Neural Networks via Structure-aware Interaction Index ICML 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explaining Kernel Clustering via Decision Trees ICLR 2024 Explaining Language Model Predictions with High-Impact Concepts EACL 2024 Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings COLING 2024 Explaining Probabilistic Models with Distributional Values ICML 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features EACL 2024 Explaining Text Similarity in Transformer Models NAACL 2024 Explaining the Hardest Errors of Contextual Embedding Based Classifiers CoNLL 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Explain Temporal Black-Box Models via Functional Decomposition ICML 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024 Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents NAACL 2024 Explanation in the Era of Large Language Models NAACL 2024 Explanations that reveal all through the definition of encoding NeurIPS 2024 Exploiting Representation Curvature for Boundary Detection in Time Series NeurIPS 2024 Explorations of Self-Repair in Language Models ICML 2024