Latest
- FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
- Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
- CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
- German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect
- XAI for Better Exploitation of Text in Medical Decision Support
- LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
- InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
- Inseq: An Interpretability Toolkit for Sequence Generation Models
- Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
- An Annotated Corpus of Textual Explanations for Clinical Decision Support
- Evaluating German Transformer Language Models with Syntactic Agreement Tests