Interpretability

Baked-in State Probing EMNLP 2022 BayCon: Model-agnostic Bayesian Counterfactual Generator IJCAI 2022 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 BECEL: Benchmark for Consistency Evaluation of Language Models COLING 2022 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection ACL 2022 Better Uncertainty Calibration via Proper Scores for Classification and Beyond NeurIPS 2022 Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions EMNLP 2022 Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations EMNLP 2022 BINAS: Bilinear Interpretable Neural Architecture Search ACML 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection ACL 2022 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022 Building a Clinically-Focused Problem List From Medical Notes EMNLP 2022 Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models ACL 2022 Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes EMNLP 2022 Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022 Can Attention-based Transformers Explain or Interpret Cyberbullying Detection? COLING 2022 Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? EMNLP 2022 Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING 2022 Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives ACL 2022 Can Explanations Be Useful for Calibrating Black Box Models? ACL 2022 Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View ACL 2022 Can Rationalization Improve Robustness? NAACL 2022