Rapid Object Recognition from Discriminative Regions of Interest. - Gerald Fritz; Christin Seifert; Lucas Paletta; Horst Bischof (AAAI, 2004)

Learning to Focus Attention on Discriminative Regions for Object Detection. - Gerald Fritz; Christin Seifert; Lucas Paletta; Horst Bischof (ECAI, 2004)

Visual Object Detection for Mobile Road Sign Inventory. - Christin Seifert; Lucas Paletta; Andreas Jeitler; Evelyn Hödl; Jean-Philippe Andreu; Patrick Morris Luley; Alexander Almer (Mobile HCI, 2004)

Attentive Object Detection Using an Information Theoretic Saliency Measure. - Gerald Fritz; Christin Seifert; Lucas Paletta; Horst Bischof (WAPCV, 2004)

Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies. - Lucas Paletta; Gerald Fritz; Christin Seifert (CVPR Workshops, 2005)

Q-learning of sequential attention for visual object recognition from informative local descriptors. - Lucas Paletta; Gerald Fritz; Christin Seifert (ICML, 2005)

Urban Object Recognition from Informative Local Features. - Gerald Fritz; Christin Seifert; Lucas Paletta (ICRA, 2005)

Building Detection from Mobile Imagery Using Informative SIFT Descriptors. - Gerald Fritz; Christin Seifert; Manish Kumar; Lucas Paletta (SCIA, 2005)

Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning. - Lucas Paletta; Gerald Fritz; Christin Seifert (SCIA, 2005)

A Mobile Vision System for Urban Detection with Informative Local Descriptors. - Gerald Fritz; Christin Seifert; Lucas Paletta (ICVS, 2006)

A Mobile Vision Service for Multimedia Tourist Applications in Urban Environments. - Lucas Paletta; Gerald Fritz; Christin Seifert; Patrick Morris Luley; Alexander Almer (ITSC, 2006)

Window Detection in Facades. - Haider Ali; Christin Seifert; Nitin Jindal; Lucas Paletta; Gerhard Paar (ICIAP, 2007)

Analysis of machine learning techniques for context extraction. - Michael Granitzer; Mark Kröll; Christin Seifert; Andreas S. Rath; Nicolas Weber; Olivia Dietzel; Stefanie N. Lindstaedt (ICDIM, 2008)

Context Based Wikipedia Linking. - Michael Granitzer; Christin Seifert; Mario Zechner (INEX, 2008)

On the Beauty and Usability of Tag Clouds. - Christin Seifert; Barbara Kump; Wolfgang Kienreich; Gisela Granitzer; Michael Granitzer (IV, 2008)

A Generic Framework for Visualizing the News Article Domain and its Application to Real-World Data. - Elisabeth Lex; Christin Seifert; Wolfgang Kienreich; Michael Granitzer (J. Digit. Inf. Manag., 2008)

Cross-domain classification: Trade-off between complexity and accuracy. - Elisabeth Lex; Christin Seifert; Michael Granitzer; Andreas Juffinger (ICITST, 2009)

A Novel Visualization Approach for Data-Mining-Related Classification. - Christin Seifert; Elisabeth Lex (IV, 2009)

Machine Learning based Work Task Classification. - Michael Granitzer; Andreas S. Rath; Mark Kröll; Christin Seifert; Doris Ipsmiller; Didier Devaurs; Nicolas Weber; Stefanie N. Lindstaedt (J. Digit. Inf. Manag., 2009)

User-Based Active Learning. - Christin Seifert; Michael Granitzer (ICDM Workshops, 2010)

An Application of Edge Bundling Techniques to the Visualization of Media Analysis Results. - Wolfgang Kienreich; Christin Seifert (IV, 2010)

Classifier Hypothesis Generation Using Visual Analysis Methods. - Christin Seifert; Vedran Sabol; Michael Granitzer (NDT (1), 2010)

Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations. - Christin Seifert; Vedran Sabol; Wolfgang Kienreich (EuroVAST@EuroVis, 2010)

A hybrid system for German encyclopedia alignment. - Roman Kern; Christin Seifert; Michael Granitzer (Int. J. Digit. Libr., 2010)

Vote/Veto Meta-Classifier for Authorship Identification - Notebook for PAN at CLEF 2011. - Roman Kern; Christin Seifert; Mario Zechner; Michael Granitzer (CLEF (Notebook Papers/Labs/Workshop), 2011)

Word Clouds for Efficient Document Labeling. - Christin Seifert; Eva Ulbrich; Michael Granitzer (Discovery Science, 2011)

Seeing what the system thinks you know: visualizing evidence in an open learner model. - Barbara Kump; Christin Seifert; Günter Beham; Stefanie N. Lindstaedt; Tobias Ley (LAK, 2012)

Visual Ontology Alignment System - An Evaluation. - Vedran Sabol; Kow Weng Onn; Manuela Rauch; Eva Ulbrich; Christin Seifert; Michael Granitzer; Dickson Lukose (SIGRAD, 2012)

Visual Exploration of Feature-Class Matrices for Classification Problems. - Wolfgang Kienreich; Christin Seifert (EuroVA@EuroVis, 2012)

Graph Visualization Using Hierarchical Edge Routing and Bundling. - Wolfgang Kienreich; Ralph Wozelka; Vedran Sabol; Christin Seifert (EuroVA@EuroVis, 2012)

Unleashing Semantics of Research Data. - Florian Stegmaier; Christin Seifert; Roman Kern; Patrick Höfler; Sebastian Bayerl; Michael Granitzer; Harald Kosch; Stefanie N. Lindstaedt; Belgin Mutlu; Vedran Sabol; Kai Schlegel; Stefan Zwicklbauer (WBDB, 2012)

Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information. - Kai Schlegel; Sebastian Bayerl; Stefan Zwicklbauer; Florian Stegmaier; Christin Seifert; Michael Granitzer; Harald Kosch (ESWC (Satellite Events), 2013)

Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation? - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (I-KNOW, 2013)

Towards Disambiguating Web Tables. - Stefan Zwicklbauer; Christoph Einsiedler; Michael Granitzer; Christin Seifert (ISWC (Posters & Demos), 2013)

Crowdsourcing Fact Extraction from Scientific Literature. - Christin Seifert; Michael Granitzer; Patrick Höfler; Belgin Mutlu; Vedran Sabol; Kai Schlegel; Sebastian Bayerl; Florian Stegmaier; Stefan Zwicklbauer; Roman Kern (CHI-KDD, 2013)

Unfolding Cultural, Educational and Scientific Long-Tail Content in the Web. - Michael Granitzer; Christin Seifert; Silvia Russegger; Klaus Tochtermann (UMAP Workshops, 2013)

Text Representation for Efficient Document Annotation. - Christin Seifert; Eva Ulbrich; Roman Kern; Michael Granitzer (J. Univers. Comput. Sci., 2013)

Visual Analysis and Knowledge Discovery for Text. - Christin Seifert; Vedran Sabol; Wolfgang Kienreich; Elisabeth Lex; Michael Granitzer (Large-Scale Data Analytics, 2014)

Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web. - Kai Schlegel; Thomas Weißgerber; Florian Stegmaier; Christin Seifert; Michael Granitzer; Harald Kosch (ESWC (Satellite Events), 2014)

FacetScape: A Visualization for Exploring the Search Space. - Christin Seifert; Johannes Jurgovsky; Michael Granitzer (IV, 2014)

Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. - Patrick Höfler; Michael Granitzer; Eduardo E. Veas; Christin Seifert (LDOW, 2014)

Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. - Andreas Holzinger; Johannes Schantl; Miriam Schroettner; Christin Seifert; Karin Verspoor (Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014)

From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (DEXA (1), 2015)

From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. - Jörg Schlötterer; Christin Seifert; Wolfgang Lutz; Michael Granitzer (ECIR, 2015)

A Game with a Purpose to Access Europe's Cultural Treasure. - Jörg Schlötterer; Christin Seifert; Lisa Wagner; Michael Granitzer (GamifIR@ECIR, 2015)

Search-based entity disambiguation with document-centric knowledge bases. - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (I-KNOW, 2015)

User Interface Considerations for Browser-Based Just-in-Time-Retrieval. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (IV, 2015)

Towards a feature-rich data set for personalized access to long-tail content. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (SAC, 2015)

EEXCESS: Personalisierter Zugriff auf Long-Tail-Inhalte - neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens. - Christin Seifert; Michael Granitzer (Inf. Wiss. Prax., 2015)

Linking Biomedical Data to the Cloud. - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (Smart Health, 2015)

Explaining Topical Distances Using Word Embeddings. - Nils Witt; Christin Seifert; Michael Granitzer (DEXA Workshops, 2016)

Evaluating Memory Efficiency and Robustness of Word Embeddings. - Johannes Jurgovsky; Michael Granitzer; Christin Seifert (ECIR, 2016)

Supporting Web Surfers in Finding Related Material in Digital Library Repositories. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (TPDL, 2016)

DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings. - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (ESWC, 2016)

Robust and Collective Entity Disambiguation through Semantic Embeddings. - Stefan Zwicklbauer; Christin Seifert; Michael Granitzer (SIGIR, 2016)

On Joint Representation Learning of Network Structure and Document Content. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (CD-MAKE, 2017)

Focus Paragraph Detection for Online Zero-Effort Queries: Lessons learned from Eye-Tracking Data. - Christin Seifert; Annett Mitschick; Jörg Schlötterer; Raimund Dachselt (CHIIR, 2017)

Towards Semantic Quality Control of Automatic Subject Indexing. - Martin Toepfer 001; Christin Seifert (TPDL, 2017)

Understanding the Influence of Hyperparameters on Text Embeddings for Text Classification Tasks. - Nils Witt; Christin Seifert (TPDL, 2017)

QueryCrumbs: A Compact Visualization for Navigating the Search Query History. - Christin Seifert; Jörg Schlötterer; Michael Granitzer (IV, 2017)

Descriptor-Invariant Fusion Architectures for Automatic Subject Indexing. - Martin Toepfer 001; Christin Seifert (JCDL, 2017)

Ubiquitous Access to Digital Cultural Heritage. - Christin Seifert; Werner Bailer; Thomas Orgel; Louis Gantner; Roman Kern; Hermann Ziak; Albin Petit; Jörg Schlötterer; Stefan Zwicklbauer; Michael Granitzer (ACM Journal on Computing and Cultural Heritage, 2017)

Analysing Author Self-citations in Computer Science Publications. - Tobias Milz; Christin Seifert (DEXA Workshops, 2018)

Most Important First - Keyphrase Scoring for Improved Ranking in Settings With Limited Keyphrases. - Nils Witt; Tobias Milz; Christin Seifert (DS, 2018)

Collection-Document Summaries. - Nils Witt; Michael Granitzer; Christin Seifert (ECIR, 2018)

Who Cites What in Computer Science? - Analysing Citation Patterns Across Conference Rank and Gender. - Tobias Milz; Christin Seifert (TPDL, 2018)

Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts Under Precision and Recall Constraints. - Martin Toepfer 001; Christin Seifert (TPDL, 2018)

Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. - Shreyasi Pathak; Jorit van Rossen; Onno Vijlbrief; Jeroen Geerdink; Christin Seifert; Maurice van Keulen (ICDM Workshops, 2018)

QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. - Jörg Schlötterer; Christin Seifert; Michael Granitzer (IV, 2018)

Visualising the Training Process of Convolutional Neural Networks for Non-Experts. - Michelle Peters; Lindsay Kempen; Meike Nauta; Christin Seifert (BNAIC/BENELEARN, 2019)

Comparing Process Models for Patient Populations: Application in Breast Cancer Care. - Francesca Marazza; Faiza Allah Bukhsh; Onno Vijlbrief; Jeroen Geerdink; Shreyasi Pathak; Maurice van Keulen; Christin Seifert (Business Process Management Workshops, 2019)

Towards Generating Consumer Labels for Machine Learning Models. - Christin Seifert; Stefanie Scherzinger; Lena Wiese (CogMI, 2019)

Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. - Kilian Ros; Elena Mocanu; Christin Seifert (CIC, 2019)

The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. - Stefanie Scherzinger; Christin Seifert; Lena Wiese (ICDCS, 2019)

Evaluating CNN interpretability on sketch classification. - Abraham Theodorus; Meike Nauta; Christin Seifert (ICMV, 2019)

How model accuracy and explanation fidelity influence user trust. - Andrea Papenmeier; Gwenn Englebienne; Christin Seifert (CoRR, 2019)

Causal Discovery with Attention-Based Convolutional Neural Networks. - Meike Nauta; Doina Bucur; Christin Seifert (Mach. Learn. Knowl. Extr., 2019)

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. - Elisa Nguyen; Daphne Theodorakopoulos; Shreyasi Pathak; Jeroen Geerdink; Onno Vijlbrief; Maurice van Keulen; Christin Seifert (CogMI, 2020)

Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. - Meike Nauta; Michel J. A. M. van Putten; Marleen C. Tjepkema-Cloostermans; Jeroen Bos; Maurice van Keulen; Christin Seifert (KDH@ECAI, 2020)

Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. - Frank Ruis; Shreyasi Pathak; Jeroen Geerdink; Johannes H. Hegeman; Christin Seifert; Maurice van Keulen (ICDM (Workshops), 2020)

Effectiveness of neural language models for word prediction of textual mammography reports. - Mihai David Marin; Elena Mocanu; Christin Seifert (SMC, 2020)

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. - Jan Trienes; Dolf Trieschnigg; Christin Seifert; Djoerd Hiemstra (HSDM@WSDM, 2020)

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports. - Valentine Legoy; Marco Caselli; Christin Seifert; Andreas Peter 001 (CoRR, 2020)

Fusion architectures for automatic subject indexing under concept drift. - Martin Toepfer 001; Christin Seifert (Int. J. Digit. Libr., 2020)

Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. - Shreyasi Pathak; Jorit van Rossen; Onno Vijlbrief; Jeroen Geerdink; Christin Seifert; Maurice van Keulen (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

QueryCrumbs search query history visualization - Usability, transparency and long-term usage. - Jörg Schlötterer; Christin Seifert; Christopher Satchell; Michael Granitzer (J. Comput. Lang., 2020)

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP). - Hendrik F. R. Schmidt; Jörg Schlötterer; Marcel Bargull; Enrico Nasca; Ryan Aydelott; Christin Seifert; Folker Meyer (CogMI, 2021)

Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. - Meike Nauta; Ron van Bree; Christin Seifert (CVPR, 2021)

Query Change as a Contextual Markov Model for Simulating User Search Behaviour. - Saber Zerhoudi; Michael Granitzer; Jörg Schlötterer; Christin Seifert (FIRE, 2021)

This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. - Meike Nauta; Annemarie Jutte; Jesper C. Provoost; Christin Seifert (PKDD/ECML Workshops (1), 2021)

Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. - Dou Liu; Tingting Zhu; Jörg Schlötterer; Christin Seifert; Shenghui Wang 001 (TDS, 2021)

STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. - Shreyasi Pathak; Changqing Lu; Sunil Belur Nagaraj; Michel J. A. M. van Putten; Christin Seifert (Artif. Intell. Medicine, 2021)

Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. - Claudia Alessandra Libbi; Jan Trienes; Dolf Trieschnigg; Christin Seifert (Future Internet, 2021)

How Accurate Does It Feel? - Human Perception of Different Types of Classification Mistakes. - Andrea Papenmeier; Dagmar Kern; Daniel Hienert; Yvonne Kammerer; Christin Seifert (CHI, 2022)

The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. - Saber Zerhoudi; Sebastian Günther 002; Kim Plassmeier; Timo Borst; Christin Seifert; Matthias Hagen; Michael Granitzer (CIKM, 2022)

Evaluating Simulated User Interaction and Search Behaviour. - Saber Zerhoudi; Michael Granitzer; Christin Seifert; Joerg Schloetterer (ECIR (2), 2022)

Model Personalization with Static and Dynamic Patients' Data. - Paul Youssef; Jörg Schlötterer; Sultan Imangaliyev; Christin Seifert (ICDM (Workshops), 2022)

Simulating User Interaction and Search Behaviour in Digital Libraries. - Saber Zerhoudi; Michael Granitzer; Christin Seifert; Jörg Schlötterer (IRCDL, 2022)

Radiology report generation for proximal femur fractures using deep classification and language generation models. - Olivier Paalvast; Meike Nauta; Marion Koelle; Jeroen Geerdink; Onno Vijlbrief; Johannes H. Hegeman; Christin Seifert (Artif. Intell. Medicine, 2022)

Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers. - Stefan Haller; Adina Aldea; Christin Seifert; Nicola Strisciuglio (CoRR, 2022)

Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (CoRR, 2022)

It's Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI. - Andrea Papenmeier; Dagmar Kern; Gwenn Englebienne; Christin Seifert (ACM Trans. Comput. Hum. Interact., 2022)

Know What Not To Know: Users' Perception of Abstaining Classifiers. - Andrea Papenmeier; Daniel Hienert; Yvonne Kammerer; Christin Seifert; Dagmar Kern (Conference on Designing Interactive Systems (Companion Volume), 2023)

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. - Paul Youssef; Jörg Schlötterer; Christin Seifert (ClinicalNLP@ACL, 2023)

Feature Attribution Explanations for Spiking Neural Networks. - Elisa Nguyen; Meike Nauta; Gwenn Englebienne; Christin Seifert (CogMI, 2023)

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification. - Meike Nauta; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (CVPR, 2023)

Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. - Tanmay Chakraborty; Christian Wirth 001; Christin Seifert (ECAI Workshops (1), 2023)

Interpreting and Correcting Medical Image Classification with PIP-Net. - Meike Nauta; Johannes H. Hegeman; Jeroen Geerdink; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (ECAI Workshops (1), 2023)

Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models. - Paul Youssef; Osman Alperen Koras; Meijie Li; Jörg Schlötterer; Christin Seifert (EMNLP (Findings), 2023)

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. - Phuong Quynh Le; Meike Nauta; Van Bach Nguyen; Shreyasi Pathak; Jörg Schlötterer; Christin Seifert (IJCAI, 2023)

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. - Jan Trienes; Paul Youssef; Jörg Schlötterer; Christin Seifert (INLG, 2023)

Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients. - Meijie Li; Wolfgang Galetzka; Bahadir Eryilmaz; Georg Christian Lodde; Elisabeth Livingstone; Jörg Schlötterer; Christin Seifert (LWDA, 2023)

The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. - Meike Nauta; Christin Seifert (xAI (1), 2023)

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (3), 2023)

Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (CoRR, 2023)

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Geerdink; Onno Dirk Vijlbrief; Maurice van Keulen; Christin Seifert (CoRR, 2023)

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. - Meike Nauta; Jan Trienes; Shreyasi Pathak; Elisa Nguyen; Michelle Peters; Yasmin Schmitt; Jörg Schlötterer; Maurice van Keulen; Christin Seifert (ACM Comput. Surv., 2023)

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. - Christine Bauer 001; Ben Carterette; Nicola Ferro 001; Norbert Fuhr; Joeran Beel; Timo Breuer 002; Charles L. A. Clarke; Anita Crescenzi; Gianluca Demartini; Giorgio Maria Di Nunzio; Laura Dietz; Guglielmo Faggioli; et al. (SIGIR Forum, 2023)

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. - Jan Trienes; Sebastian Joseph; Jörg Schlötterer; Christin Seifert; Kyle Lo; Wei Xu 004; Byron C. Wallace; Junyi Jessy Li (ACL (1), 2024)

Investigating the Impact of Randomness on Reproducibility in Computer Vision: A Study on Applications in Civil Engineering and Medicine. - Bahadir Eryilmaz; Osman Alperen Koras; Jörg Schlötterer; Christin Seifert (CogMI, 2024)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs. - Paul Youssef; Jörg Schlötterer; Christin Seifert (EACL (Findings), 2024)

A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. - Osman Alperen Koras; Jörg Schlötterer; Christin Seifert (ECIR (4), 2024)

LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. - Van Bach Nguyen; Paul Youssef; Christin Seifert; Jörg Schlötterer (EMNLP (Findings), 2024)

CEval: A Benchmark for Evaluating Counterfactual Text Generation. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (INLG, 2024)

PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans. - Lisa Anita De Santi; Jörg Schlötterer; Michael Scheschenja; Joel Wessendorf; Meike Nauta; Vincenzo Positano; Christin Seifert (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case. - Jorn-Jan van de Beld; Shreyasi Pathak; Jeroen Geerdink; Johannes H. Hegeman; Christin Seifert (xAI (4), 2024)

XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. - Shreyasi Pathak; Jörg Schlötterer; Jeroen Veltman; Jeroen Geerdink; Maurice van Keulen; Christin Seifert (xAI (1), 2024)

Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification. - Lisa Anita De Santi; Jörg Schlötterer; Meike Nauta; Vincenzo Positano; Christin Seifert (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Explainable Bayesian Optimization. - Tanmay Chakraborty; Christin Seifert; Christian Wirth 001 (CoRR, 2024)

Detecting Edited Knowledge in Language Models. - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Can We Reverse In-Context Knowledge Edits? - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Enhancing Fact Retrieval in PLMs through Truthfulness. - Paul Youssef; Jörg Schlötterer; Christin Seifert (CoRR, 2024)

Behavioral Analysis of Information Salience in Large Language Models. - Jan Trienes; Jörg Schlötterer; Junyi Jessy Li; Christin Seifert (ACL (Findings), 2025)

Has this Fact been Edited? Detecting Knowledge Edits in Language Models. - Paul Youssef; Zhixue Zhao; Christin Seifert; Jörg Schlötterer (NAACL (Long Papers), 2025)

How to Make LLMs Forget: On Reversing In-Context Knowledge Edits. - Paul Youssef; Zhixue Zhao; Jörg Schlötterer; Christin Seifert (NAACL (Long Papers), 2025)

Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations. - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (Trans. Mach. Learn. Res., 2025)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. - Lukas Kuhn; Sari Sadiya; Jörg Schlötterer; Christin Seifert; Gemma Roig (CoRR, 2025)

Position: Editing Large Language Models Poses Serious Safety Risks. - Paul Youssef; Zhixue Zhao; Daniel Braun 013; Jörg Schlötterer; Christin Seifert (CoRR, 2025)

This looks like what? Challenges and Future Research Directions for Part-Prototype Models. - Khawla Elhadri; Tomasz Michalski 002; Adam Wróbel; Jörg Schlötterer; Bartosz Zielinski 001; Christin Seifert (CoRR, 2025)

Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection. - Tanmay Chakraborty; Christian Wirth 001; Christin Seifert (CoRR, 2025)

An XAI-based Analysis of Shortcut Learning in Neural Networks. - Phuong Quynh Le; Jörg Schlötterer; Christin Seifert (CoRR, 2025)

Invariant Learning with Annotation-free Environments. - Phuong Quynh Le; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks. - Tanmay Chakraborty; Marion Koelle; Jörg Schlötterer; Nadine Schlicker; Christian Wirth 001; Christin Seifert (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)

Tracing and Reversing Rank-One Model Edits. - Paul Youssef; Zhixue Zhao; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support. - Jan Trienes; Anastasiia Derzhanskaia; Roland Schwarzkopf; Markus Mühling; Jörg Schlötterer; Christin Seifert (CoRR, 2025)