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Interpretability

7,318 papers

Papers per year

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Papers

Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise? ACL 2023
LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023
Probing neural language models for understanding of words of estimative probability ACL 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023
Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023
Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023
Debunking Biases in Attention ACL 2023
Enhancing textual counterfactual explanation intelligibility through Counterfactual Feature Importance ACL 2023
Towards Detecting Harmful Agendas in News Articles ACL 2023
A Dataset for Explainable Sentiment Analysis in the German Automotive Industry ACL 2023
A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection ACL 2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023
ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023
Bayesian Hierarchical Models for Counterfactual Estimation AISTATS 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023
Feasible Recourse Plan via Diverse Interpolation AISTATS 2023
A Sea of Words: An In-Depth Analysis of Anchors for Text Data AISTATS 2023
Manifold Restricted Interventional Shapley Values AISTATS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023
Distill n’ Explain: explaining graph neural networks using simple surrogates AISTATS 2023
Unifying local and global model explanations by functional decomposition of low dimensional structures AISTATS 2023
On double-descent in uncertainty quantification in overparametrized models AISTATS 2023
Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023