Interpretability

Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Unveiling Linguistic Regions in Large Language Models ACL 2024 Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses EMNLP 2024 Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024 Unveiling the Achilles’ Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models ACL 2024 Unveiling the Dynamics of Information Interplay in Supervised Learning ICML 2024 Unveiling Vulnerability of Self-Attention COLING 2024 Uot1 at FIGNEWS 2024 Shared Task: Labeling News Bias ACL 2024 Updates on the Complexity of SHAP Scores IJCAI 2024 Updating CLIP to Prefer Descriptions Over Captions EMNLP 2024 Using Artificial Populations to Study Psychological Phenomena in Neural Models AAAI 2024 Using Persuasive Writing Strategies to Explain and Detect Health Misinformation COLING 2024 Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024 Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary NeurIPS 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 Validating Privacy-Preserving Face Recognition under a Minimum Assumption CVPR 2024 Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models AAAI 2024 Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024 Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024 "Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs" ECCV 2024 VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning ACL 2024 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024 Verifiably Robust Conformal Prediction NeurIPS 2024 Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving EMNLP 2024 Verifying message-passing neural networks via topology-based bounds tightening ICML 2024