Sebastian Möller

Latest

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
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
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues
Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates
XAI for Better Exploitation of Text in Medical Decision Support
QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models
The Role of Explainability in Collaborative Human-AI Disinformation Detection
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
Retrieval-Augmented Knowledge Integration into Language Models: A Survey
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Klinische Entscheidungsfindung mit Künstlicher Intelligenz: Ein interdisziplinärer Governance-Ansatz
When performance is not enough—A multidisciplinary view on clinical decision support
Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems
Evaluation of a clinical decision support system for detection of patients at risk after kidney transplantation
Towards Personality-aware Chatbots
A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Subjective Text Complexity Assessment for German
Mediators: Conversational Agents Explaining NLP Model Behavior
Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation
Efficient Explanations from Empirical Explainers
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Evaluating German Transformer Language Models with Syntactic Agreement Tests
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries
Train, Sort, Explain: Learning to Diagnose Translation Models