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Interpretability

7,318 papers

Papers per year

Papers

Unsupervised Learning of Hierarchical Conversation Structure EMNLP 2022
Composition, Attention, or Both? EMNLP 2022
Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022
Investigating the Benefits of Free-Form Rationales EMNLP 2022
MBTI Personality Prediction for Fictional Characters Using Movie Scripts EMNLP 2022
Probing for Constituency Structure in Neural Language Models EMNLP 2022
Capturing Topic Framing via Masked Language Modeling EMNLP 2022
Guiding Neural Story Generation with Reader Models EMNLP 2022
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue EMNLP 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022
A Minimal Model for Compositional Generalization on gSCAN EMNLP 2022
Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines EMNLP 2022
Post-hoc analysis of Arabic transformer models EMNLP 2022
How (Un)Faithful is Attention? EMNLP 2022
Are Multilingual Sentiment Models Equally Right for the Right Reasons? EMNLP 2022
Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models EMNLP 2022
Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions EMNLP 2022
Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022
Explaining Translationese: why are Neural Classifiers Better and what do they Learn? EMNLP 2022
Probing GPT-3’s Linguistic Knowledge on Semantic Tasks EMNLP 2022
Garden Path Traversal in GPT-2 EMNLP 2022
Using Roark-Hollingshead Distance to Probe BERT’s Syntactic Competence EMNLP 2022
Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022