Interpretability
8,292 papers
Papers per year
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363
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1,688
2,137
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Papers
A Practical Upper Bound for the Worst-Case Attribution Deviations
CVPR 2023
A Protocol for Evaluating Model Interpretation Methods From Visual Explanations
WACV 2023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!
EMNLP 2023
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
CVPR 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
ACL 2023
Are Language Models Worse than Humans at Following Prompts? It’s Complicated
EMNLP 2023
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
EMNLP 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
ACL 2023
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization
EMNLP 2023
“Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
EMNLP 2023
Argument-based Detection and Classification of Fallacies in Political Debates
EMNLP 2023
Arthur Caplan at SemEval-2023 Task 4: Enhancing Human Value Detection through Fine-tuned Pre-trained Models
SemEval 2023
ASAP: Attention-Based State Space Abstraction for Policy Summarization
ACML 2023
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
AISTATS 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation
ACL 2023
A smashed glass cannot be full: Generation of Commonsense Explanations through Prompt-based Few-shot Learning
ACL 2023
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
IJCAI 2023
A Spectral Theory of Neural Prediction and Alignment
NeurIPS 2023
Assessing Word Importance Using Models Trained for Semantic Tasks
ACL 2023
ASTRA: Understanding the practical impact of robustness for probabilistic programs
UAI 2023
Astromorphic Self-Repair of Neuromorphic Hardware Systems
AAAI 2023
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts
EMNLP 2023
A Survey of MWE Identification Experiments: The Devil is in the Details
EACL 2023
Asymmetric feature interaction for interpreting model predictions
ACL 2023
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
EMNLP 2023