Interpretability

Spoiler Detection as Semantic Text Matching EMNLP 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes MIDL 2023 STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction AAAI 2023 State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding NeurIPS 2023 StateMask: Explaining Deep Reinforcement Learning through State Mask NeurIPS 2023 Statistical Knowledge Assessment for Large Language Models NeurIPS 2023 Statistically Profiling Biases in Natural Language Reasoning Datasets and Models EMNLP 2023 Statistically Valid Variable Importance Assessment through Conditional Permutations NeurIPS 2023 StoryARG: a corpus of narratives and personal experiences in argumentative texts ACL 2023 STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK ICLR 2023 Structural generalization in COGS: Supertagging is (almost) all you need EMNLP 2023 Studying How to Efficiently and Effectively Guide Models with Explanations ICCV 2023 StyLEx: Explaining Style Using Human Lexical Annotations EACL 2023 Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training EMNLP 2023 Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees ICLR 2023 Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation EMNLP 2023 Surface Extraction from Neural Unsigned Distance Fields ICCV 2023 Symbolic Explanations for Hyperparameter Optimization AutoML 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning NeurIPS 2023 Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks ICLR 2023 Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe AAAI 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023 TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery NeurIPS 2023