Interpretability

Evaluating Large Language Models via Linguistic Profiling EMNLP 2024 Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads NeurIPS 2024 Evaluating Model Bias Requires Characterizing its Mistakes ICML 2024 Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning ACL 2024 Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation COLING 2024 Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024 Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations COLING 2024 Evaluation of Really Good Grammatical Error Correction COLING 2024 Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection ACL 2024 Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024 Evidence of Learned Look-Ahead in a Chess-Playing Neural Network NeurIPS 2024 Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing ICLR 2024 Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers ICML 2024 Examining Prosody in Spoken Navigation Instructions for People with Disabilities NAACL 2024 ExChain: Exception Dependency Analysis for Root Cause Diagnosis NSDI 2024 EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification ACL 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Expand-and-Cluster: Parameter Recovery of Neural Networks ICML 2024 Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024 Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese NAACL 2024 Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing Interspeech 2024 Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation NAACL 2024