Interpretability

CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images ICLR 2024 Can Automatic Metrics Assess High-Quality Translations? EMNLP 2024 Can Factual Statements Be Deceptive? The DeFaBel Corpus of Belief-based Deception COLING 2024 Can Language Models Learn Embeddings of Propositional Logic Assertions? COLING 2024 Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024 Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ICLR 2024 Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks EMNLP 2024 Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024 Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t! NAACL 2024 Can We Statically Locate Knowledge in Large Language Models? Financial Domain and Toxicity Reduction Case Studies EMNLP 2024 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024 CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 CASIMIR: A Corpus of Scientific Articles Enhanced with Multiple Author-Integrated Revisions COLING 2024 Causal Analysis for Robust Interpretability of Neural Networks WACV 2024 Causal Dependence Plots NeurIPS 2024 CausalGym: Benchmarking causal interpretability methods on linguistic tasks ACL 2024 Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024 Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks ICLR 2024 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 CAVA: A Tool for Cultural Alignment Visualization & Analysis EMNLP 2024 CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024 CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation COLING 2024 CF-OPT: Counterfactual Explanations for Structured Prediction ICML 2024