Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability. - Georg Rehm; Dimitris Galanis; Penny Labropoulou; Stelios Piperidis; Martin Welß; Ricardo Usbeck; Joachim Köhler; Miltos Deligiannis; Katerina Gkirtzou; Johannes Fischer 006; Christian Chiarcos; Nils Feldhus; et al. (IWLTP@LREC, 2020)

Evaluating German Transformer Language Models with Syntactic Agreement Tests. - Karolina Zaczynska; Nils Feldhus; Robert Schwarzenberg; Aleksandra Gabryszak; Sebastian Möller 001 (SwissText/KONVENS, 2020)

Combining Open Domain Question Answering with a Task-Oriented Dialog System. - Jan Nehring; Nils Feldhus; Harleen Kaur; Akhyar Ahmed (DialDoc@ACL-IJCNLP, 2021)

Efficient Explanations from Empirical Explainers. - Robert Schwarzenberg; Nils Feldhus; Sebastian Möller 001 (BlackboxNLP@EMNLP, 2021)

European Language Grid: A Joint Platform for the European Language Technology Community. - Georg Rehm; Stelios Piperidis; Kalina Bontcheva; Jan Hajic; Victoria Arranz; Andrejs Vasiljevs; Gerhard Backfried; José Manuél Gómez-Pérez; Ulrich Germann; Rémi Calizzano; Nils Feldhus; Stefanie Hegele; et al. (EACL (System Demonstrations), 2021)

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools. - Nils Feldhus; Robert Schwarzenberg; Sebastian Möller 001 (EMNLP (Demos), 2021)

Towards Automated Dialog Personalization using MBTI Personality Indicators. - Daniel Fernau; Stefan Hillmann; Nils Feldhus; Tim Polzehl (INTERSPEECH, 2022)

An Annotated Corpus of Textual Explanations for Clinical Decision Support. - Roland Roller; Aljoscha Burchardt; Nils Feldhus; Laura Seiffe; Klemens Budde; Simon Ronicke; Bilgin Osmanodja (LREC, 2022)

Towards Personality-Aware Chatbots. - Daniel Fernau; Stefan Hillmann; Nils Feldhus; Tim Polzehl; Sebastian Möller 001 (SIGDIAL, 2022)

Mediators: Conversational Agents Explaining NLP Model Behavior. - Nils Feldhus; Ajay Madhavan Ravichandran; Sebastian Möller 001 (CoRR, 2022)

Constructing Natural Language Explanations via Saliency Map Verbalization. - Nils Feldhus; Leonhard Hennig; Maximilian Dustin Nasert; Christopher Ebert; Robert Schwarzenberg; Sebastian Möller 001 (CoRR, 2022)

XAINES: Explaining AI with Narratives. - Mareike Hartmann; Han Du; Nils Feldhus; Ivana Kruijff-Korbayová; Daniel Sonntag (Künstliche Intell., 2022)

Inseq: An Interpretability Toolkit for Sequence Generation Models. - Gabriele Sarti; Nils Feldhus; Ludwig Sickert; Oskar van der Wal (ACL (demo), 2023)

InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations. - Nils Feldhus; Qianli Wang; Tatiana Anikina; Sahil Chopra; Cennet Oguz; Sebastian Möller 001 (EMNLP (Findings), 2023)

Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems. - Tim Polzehl; Vera Schmitt; Nils Feldhus; Joachim Meyer 002; Sebastian Möller 001 (VISIGRAPP (2: HUCAPP), 2023)

XAI for Better Exploitation of Text in Medical Decision Support. - Ajay Madhavan Ravichandran; Julianna Grune; Nils Feldhus; Aljoscha Burchardt; Roland Roller; Sebastian Möller 001 (BioNLP@ACL, 2024)

CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems. - Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann 002; Sebastian Möller 001 (EMNLP (Findings), 2024)

The Role of Explainability in Collaborative Human-AI Disinformation Detection. - Vera Schmitt; Luis Felipe Villa-Arenas; Nils Feldhus; Joachim Meyer 002; Robert P. Spang; Sebastian Möller 001 (FAccT, 2024)

Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues. - Nils Feldhus; Aliki Anagnostopoulou; Qianli Wang; Milad Alshomary; Henning Wachsmuth; Daniel Sonntag; Sebastian Möller 001 (GoodIT, 2024)

German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect. - Maximilian Bleick; Nils Feldhus; Aljoscha Burchardt; Sebastian Möller 001 (INLG, 2024)

QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models. - Nikolas Wehner; Nils Feldhus; Michael Seufert; Sebastian Möller 001; Tobias Hoßfeld (QoMEX, 2024)

Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit. - Gabriele Sarti; Nils Feldhus; Jirui Qi; Malvina Nissim; Arianna Bisazza (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools. - Qianli Wang; Tatiana Anikina; Nils Feldhus; Josef van Genabith; Leonhard Hennig; Sebastian Möller 001 (CoRR, 2024)

Free-text Rationale Generation under Readability Level Control. - Yi-Sheng Hsu; Nils Feldhus; Sherzod Hakimov (CoRR, 2024)

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation. - Qianli Wang; Nils Feldhus; Simon Ostermann 002; Luis Felipe Villa-Arenas; Sebastian Möller 001; Vera Schmitt (ACL (Findings), 2025)

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem. - Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann 002; Sebastian Möller 001; Vera Schmitt (COLING, 2025)

Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods. - Mahdi Dhaini; Ege Erdogan; Nils Feldhus; Gjergji Kasneci (FAccT, 2025)

Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models. - Sebastian Möller 001; Pia Knoeferle; Britta Schulte; Nils Feldhus (CoRR, 2025)

Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability. - Qianli Wang; Mingyang Wang 003; Nils Feldhus; Simon Ostermann 002; Yuan Cao; Hinrich Schütze; Sebastian Möller 001; Vera Schmitt (CoRR, 2025)

Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals. - Qianli Wang; Van Bach Nguyen; Nils Feldhus; Luis Felipe Villa-Arenas; Christin Seifert; Sebastian Möller 001; Vera Schmitt (CoRR, 2025)

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. - Laura Kopf; Nils Feldhus; Kirill Bykov; Philine Lou Bommer; Anna Hedström; Marina M.-C. Höhne; Oliver Eberle (CoRR, 2025)

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data. - Ekaterina Borisova 002; Fabio Barth; Nils Feldhus; Raia Abu Ahmad; Malte Ostendorff; Pedro Ortiz Suarez; Georg Rehm; Sebastian Möller 001 (CoRR, 2025)

Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes. - Johann Frei; Nils Feldhus; Lisa Raithel; Roland Roller; Alexander Meyer; Frank Kramer 001 (CoRR, 2025)

Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems. - Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann 002; Fedor Splitt; Jiaao Li; Yoana Tsoneva; Sebastian Möller 001; Vera Schmitt (CoRR, 2025)