Interpretability

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification CVPR 2023 Plausibility Processing in Transformer Language Models: Focusing on the Role of Attention Heads in GPT EMNLP 2023 Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection ACL 2023 PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation SemEval 2023 PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction SemEval 2023 Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023 Post-hoc Concept Bottleneck Models ICLR 2023 Post Hoc Explanations of Language Models Can Improve Language Models NeurIPS 2023 Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NeurIPS 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Practical Model Reductions for Verification of Multi-Agent Systems IJCAI 2023 Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text Interspeech 2023 Predictive Inference with Feature Conformal Prediction ICLR 2023 Primacy Effect of ChatGPT EMNLP 2023 PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation EACL 2023 Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023 Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023 Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation ICCV 2023 Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation ACL 2023 Probabilistic Verification of ReLU Neural Networks via Characteristic Functions L4DC 2023 Probing LLMs for Joint Encoding of Linguistic Categories EMNLP 2023 Probing neural language models for understanding of words of estimative probability ACL 2023 Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing EACL 2023 Probing Pre-Trained Language Models for Cross-Cultural Differences in Values EACL 2023