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Interpretability
7,318 papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
A Legal Approach to Hate Speech – Operationalizing the EU’s Legal Framework against the Expression of Hatred as an NLP Task
EMNLP 2022
The Legal Argument Reasoning Task in Civil Procedure
EMNLP 2022
Legal and Political Stance Detection of SCOTUS Language
EMNLP 2022
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI
EMNLP 2022
A Robust Bias Mitigation Procedure Based on the Stereotype Content Model
EMNLP 2022
Who is GPT-3? An exploration of personality, values and demographics
EMNLP 2022
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
EMNLP 2022
Assessing the Linguistic Knowledge in Arabic Pre-trained Language Models Using Minimal Pairs
EMNLP 2022
Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust
EMNLP 2022
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation
EMNLP 2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
EMNLP 2022
Meaningfully debugging model mistakes using conceptual counterfactual explanations
ICML 2022
XAI for Transformers: Better Explanations through Conservative Propagation
ICML 2022
A query-optimal algorithm for finding counterfactuals
ICML 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ICML 2022
Label-Free Explainability for Unsupervised Models
ICML 2022
Self-conditioning Pre-Trained Language Models
ICML 2022
Deep symbolic regression for recurrence prediction
ICML 2022
Framework for Evaluating Faithfulness of Local Explanations
ICML 2022
Lazy Estimation of Variable Importance for Large Neural Networks
ICML 2022
A Functional Information Perspective on Model Interpretation
ICML 2022
Inducing Causal Structure for Interpretable Neural Networks
ICML 2022
Neuro-Symbolic Hierarchical Rule Induction
ICML 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations
ICML 2022
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
ICML 2022
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