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Interpretability
6 directly classified papers
Papers per year
2018: 1
2020: 1
2021: 1
2023: 2
2025: 1
Papers
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
EMNLP 2025
Log-linear Guardedness and its Implications
ACL 2023
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NIPS 2023
Interpreting Multivariate Shapley Interactions in DNNs
AAAI 2021
A Diagnostic Study of Explainability Techniques for Text Classification
EMNLP 2020
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
EMNLP 2018
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