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Interpretability

8,292 papers

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Papers

CoP: Factual Inconsistency Detection by Controlling the Preference AAAI 2023 Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry NeurIPS 2023 Corrupting Neuron Explanations of Deep Visual Features ICCV 2023 CoRTX: Contrastive Framework for Real-time Explanation ICLR 2023 CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification EACL 2023 Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks ICCV 2023 Counterfactual Memorization in Neural Language Models NeurIPS 2023 Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios ACL 2023 Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors ACL 2023 Counting the Bugs in ChatGPT’s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model EMNLP 2023 C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation ACL 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability CVPR 2023 Credible without Credit: Domain Experts Assess Generative Language Models ACL 2023 CREST: A Joint Framework for Rationalization and Counterfactual Text Generation ACL 2023 Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation EMNLP 2023 Cross-Modal Conceptualization in Bottleneck Models EMNLP 2023 CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks EMNLP 2023 Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023 CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023 D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NeurIPS 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks ICLR 2023 DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications ACL 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Data Valuation Without Training of a Model ICLR 2023 DAVE: Differential Diagnostic Analysis Automation and Visualization from Clinical Notes EACL 2023