conftrace_

explainable ai

480 papers

Explore in graph

Co-occurring keywords

feature attribution (280) explainable artificial intelligence (130) large language model (13587) model interpretability (519) text classification (6793) counterfactual explanation (139) neural network (6616) shapley value (206) graph neural network (3962) saliency map (125)

Papers

ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer ACL 2024
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations NAACL 2024
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024
Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024
E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator CVPR 2024
CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024
On the Interpretability of Deep Learning Models for Collaborative Argumentation Analysis in Classrooms ACL 2024
Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024
Delivering Inflated Explanations AAAI 2024
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model ACL 2024
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing AAAI 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
PyXAI: An XAI Library for Tree-Based Models IJCAI 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments IJCAI 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records EMNLP 2024
XANE: eXplainable Acoustic Neural Embeddings INTERSPEECH 2024
Autonomous Policy Explanations for Effective Human-Machine Teaming AAAI 2024
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems EMNLP 2024
Considering Human Interaction and Variability in Automatic Text Simplification EMNLP 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance AAAI 2024
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NIPS 2024
Towards Trustworthy Autonomous Systems via Conversations and Explanations AAAI 2024
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI NIPS 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023