Interpretability
8,292 papers
Papers per year
1
1
1
1
1
5
2
10
8
14
28
84
204
363
512
710
850
1,001
1,688
2,137
671
'10
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'25
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