Interpretability

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers EMNLP 2024 Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024 Discover and Mitigate Multiple Biased Subgroups in Image Classifiers CVPR 2024 Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations NAACL 2024 Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation EMNLP 2024 Discovering Bias in Latent Space: An Unsupervised Debiasing Approach ICML 2024 Discovering Environments with XRM ICML 2024 Discovering influential text using convolutional neural networks ACL 2024 Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024 DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation ICML 2024 Disentanglement Learning via Topology ICML 2024 Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NeurIPS 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NeurIPS 2024 Dissecting Human and LLM Preferences ACL 2024 Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models NAACL 2024 Dissecting Query-Key Interaction in Vision Transformers NeurIPS 2024 Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance AAAI 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distillation with Explanations from Large Language Models COLING 2024 Distinguished In Uniform: Self-Attention Vs. Virtual Nodes ICLR 2024 Divergences between Language Models and Human Brains NeurIPS 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 DMON: A Simple Yet Effective Approach for Argument Structure Learning COLING 2024 DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding EMNLP 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NeurIPS 2024