model interpretability

Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees JMLR 2023 Analyzing Transformers in Embedding Space ACL 2023 An Attribution Method for Siamese Encoders EMNLP 2023 An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure ACL 2023 A Practical Upper Bound for the Worst-Case Attribution Deviations CVPR 2023 Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations ACL 2023 Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges IJCAI 2023 Black-box language model explanation by context length probing ACL 2023 Choose your Data Wisely: A Framework for Semantic Counterfactuals IJCAI 2023 Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023 Concept Gradient: Concept-based Interpretation Without Linear Assumption ICLR 2023 DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications ACL 2023 DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability SemEval 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series IJCAI 2023 Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction ACL 2023 Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability NeurIPS 2023 Disentangling the Linguistic Competence of Privacy-Preserving BERT EMNLP 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023 Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NeurIPS 2023 Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance ACL 2023 Evaluating Neuron Interpretation Methods of NLP Models NeurIPS 2023 Explain Any Concept: Segment Anything Meets Concept-Based Explanation NeurIPS 2023 Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract) AAAI 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023