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explainable ai

480 papers

Papers

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict COLING 2024 Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity ICML 2024 Semi-factual Explanations in AI AAAI 2024 SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving IJCAI 2024 ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024 SLICE: Stabilized LIME for Consistent Explanations for Image Classification CVPR 2024 SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection CVPR 2024 Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach EACL 2024 SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024 SyntaxShap: Syntax-aware Explainability Method for Text Generation ACL 2024 Tackling the XAI Disagreement Problem with Regional Explanations AISTATS 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024 The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems EMNLP 2024 The Intelligible and Effective Graph Neural Additive Network NeurIPS 2024 The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI EMNLP 2024 The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations IJCAI 2024 Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024 Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour EMNLP 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark ICLR 2024 Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales NAACL 2024 Towards Trustworthy Autonomous Systems via Conversations and Explanations AAAI 2024 Using Persuasive Writing Strategies to Explain and Detect Health Misinformation COLING 2024 Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024 WU_TLAXE at WASSA 2024 Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT ACL 2024