model interpretability

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models AAAI 2025 Transformer Layers as Painters AAAI 2025 Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability COLING 2025 Using Shapley interactions to understand how models use structure ACL 2025 Visual Analytics for Guiding Feature Attribution Method Selection IJCAI 2025 When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity EMNLP 2025 3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability NeurIPS 2024 Accelerating the Global Aggregation of Local Explanations AAAI 2024 A Concept-Based Explainability Framework for Large Multimodal Models NeurIPS 2024 Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024 Analysing the Generalisation and Reliability of Steering Vectors NeurIPS 2024 Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024 An interpretable error correction method for enhancing code-to-code translation ICLR 2024 A Study on How Attention Scores in the BERT Model Are Aware of Lexical Categories in Syntactic and Semantic Tasks on the GLUE Benchmark COLING 2024 A Survey on Natural Language Counterfactual Generation EMNLP 2024 Auditing Local Explanations is Hard NeurIPS 2024 Benchmarking the Attribution Quality of Vision Models NeurIPS 2024 Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? NeurIPS 2024 Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles AAAI 2024 BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability EMNLP 2024 Brain Decodes Deep Nets CVPR 2024 Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods CVPR 2024 Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024 Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid IJCAI 2024 DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers NAACL 2024