A Comparative Evaluation of Cross-Lingual Text Annotation Techniques. - Lei Zhang 034; Achim Rettinger; Michael Färber 001; Marko Tadic (CLEF, 2013)

A semantic wiki for novelty search on documents. - Michael Färber 001; Achim Rettinger (DIR, 2013)

Ontology-Supported Document Ranking for Novelty Search. - Michael Färber 001 (ESWC, 2013)

Kuphi - an Investigation Tool for Searching for and via Semantic Relations. - Michael Färber 001; Lei Zhang 034; Achim Rettinger (ESWC (Satellite Events), 2014)

xLiD-Lexica: Cross-lingual Linked Data Lexica. - Lei Zhang 034; Michael Färber 001; Achim Rettinger (LREC, 2014)

Exploiting Semantic Annotations for Entity-based Information Retrieval. - Lei Zhang 034; Michael Färber 001; Thanh Tran 001; Achim Rettinger (ISWC (Posters & Demos), 2014)

Toward Real Event Detection. - Michael Färber 001; Achim Rettinger (DeRiVE@ESWC, 2015)

A Statistical Comparison of Current Knowledge Bases. - Michael Färber 001; Achim Rettinger (SEMANTiCS (Posters & Demos), 2015)

XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval. - Lei Zhang 034; Michael Färber 001; Achim Rettinger (CIKM, 2016)

On Emerging Entity Detection. - Michael Färber 001; Achim Rettinger; Boulos El Asmar (EKAW, 2016)

Towards Monitoring of Novel Statements in the News. - Michael Färber 001; Achim Rettinger; Andreas Harth (ESWC, 2016)

Using a semantic wiki for technology forecast and technology monitoring. - Michael Färber 001 (Program, 2016)

A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information. - Victor Anthony Arrascue Ayala; Kemal Cagin Gülsen; Anas Alzogbi; Michael Färber 001; Marco Muñiz; Georg Lausen (RecTour@RecSys, 2017)

BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search. - Lei Zhang 034; Maribel Acosta; Michael Färber 001; Steffen Thoma; Achim Rettinger (ISWC (Posters, Demos & Industry Tracks), 2017)

The xLiMe system: Cross-lingual and cross-modal semantic annotation, search and recommendation over live-TV, news and social media streams. - Lei Zhang 034; Andreas Thalhammer 001; Achim Rettinger; Michael Färber 001; Aditya Mogadala; Ronald Denaux (J. Web Semant., 2017)

Semantic search for novel information. - Michael Färber 001 (IOS Press, 2017)

To Cite, or Not to Cite? Detecting Citation Contexts in Text. - Michael Färber 001; Alexander Thiemann; Adam Jatowt (ECIR, 2018)

CITEWERTs: A System Combining Cite-Worthiness with Citation Recommendation. - Michael Färber 001; Alexander Thiemann; Adam Jatowt (ECIR, 2018)

PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies. - Matteo Cossu; Michael Färber 001; Georg Lausen (EDBT, 2018)

Towards Recommending Interesting Content in News Archives. - I-Chen Hung; Michael Färber 001; Adam Jatowt (ICADL, 2018)

A High-Quality Gold Standard for Citation-based Tasks. - Michael Färber 001; Alexander Thiemann; Adam Jatowt (LREC, 2018)

Which Knowledge Graph Is Best for Me? - Michael Färber 001; Achim Rettinger (CoRR, 2018)

Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. - Michael Färber 001; Frederic Bartscherer; Carsten Menne; Achim Rettinger (Semantic Web, 2018)

A Linked Data wrapper for CrunchBase. - Michael Färber 001; Carsten Menne; Andreas Harth (Semantic Web, 2018)

Identifying Twitter Bots Using a Convolutional Neural Network. - Michael Färber 001; Agon Qurdina; Lule Ahmedi (CLEF (Working Notes), 2019)

Finding Temporal Trends of Scientific Concepts. - Michael Färber 001; Adam Jatowt (BIR@ECIR, 2019)

PaperHunter: A System for Exploring Papers and Citation Contexts. - Michael Färber 001; Ashwath Sampath; Adam Jatowt (ECIR (2), 2019)

Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks. - Tarek Saier; Michael Färber 001 (BIR@ECIR, 2019)

Determining How Citations Are Used in Citation Contexts. - Michael Färber 001; Ashwath Sampath (TPDL, 2019)

ScholarSight: Visualizing Temporal Trends of Scientific Concepts. - Michael Färber 001; Chifumi Nishioka; Adam Jatowt (JCDL, 2019)

Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks. - Michael Färber 001; Agon Qurdina; Lule Ahmedi (SemEval@NAACL-HLT, 2019)

The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data. - Michael Färber 001 (ISWC (2), 2019)

Evaluating the Availability of Open Citation Data. - Chifumi Nishioka; Michael Färber 001 (BIRNDL@SIGIR, 2019)

Relational schemata for distributed SPARQL query processing. - Victor Anthony Arrascue Ayala; Polina Koleva; Anas Alzogbi; Matteo Cossu; Michael Färber 001; Patrick Philipp; Guilherme Schievelbein; Io Taxidou; Georg Lausen (SBD@SIGMOD, 2019)

Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies. - Michael Färber 001 (CoRR, 2019)

Neural Citation Recommendation: A Reproducibility Study. - Michael Färber 001; Timo Klein; Joan Sigloch (BIR@ECIR, 2020)

A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias. - Michael Färber 001; Victoria Burkard; Adam Jatowt; Sora Lim (CIKM, 2020)

Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation. - Tarek Saier; Michael Färber 001 (ECIR (1), 2020)

Answering Event-Related Questions over Long-Term News Article Archives. - Jiexin Wang; Adam Jatowt; Michael Färber 001; Masatoshi Yoshikawa (ECIR (1), 2020)

A Large-Scale Analysis of Cross-lingual Citations in English Papers. - Tarek Saier; Michael Färber 001 (ICADL, 2020)

Who's Behind That Website? Classifying Websites by the Degree of Commercial Intent. - Michael Färber 001; Benjamin Scheer; Frederic Bartscherer (ICWE, 2020)

Analyzing the GitHub Repositories of Research Papers. - Michael Färber 001 (JCDL, 2020)

HybridCite: A Hybrid Model for Context-Aware Citation Recommendation. - Michael Färber 001; Ashwath Sampath (JCDL, 2020)

Trends of Publications' Citations and Altmetrics Based on Open Access Types. - Chifumi Nishioka; Michael Färber 001 (JCDL, 2020)

Making Neural Networks FAIR. - Anna Nguyen; Tobias Weller; Michael Färber 001; York Sure-Vetter (KGSWC, 2020)

Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. - Sora Lim; Adam Jatowt; Michael Färber 001; Masatoshi Yoshikawa (LREC, 2020)

KORE 50DYWC: An Evaluation Data Set for Entity Linking Based on DBpedia, YAGO, Wikidata, and Crunchbase. - Kristian Noullet; Rico Mix; Michael Färber 001 (LREC, 2020)

AWARE: A Situational Awareness Framework for Facilitating Adaptive Behavior of Autonomous Vehicles in Manufacturing. - Boulos El Asmar; Syrine Chelly; Nour Azzi; Lynn Nassif; Jana El Asmar; Michael Färber 001 (ISWC (2), 2020)

Right for the Right Reason: Making Image Classification Robust. - Anna Nguyen; Adrian Oberföll; Michael Färber 001 (CoRR, 2020)

Citation recommendation: approaches and datasets. - Michael Färber 001; Adam Jatowt (Int. J. Digit. Libr., 2020)

unarXive: a large scholarly data set with publications' full-text, annotated in-text citations, and links to metadata. - Tarek Saier; Michael Färber 001 (Scientometrics, 2020)

Identifying Used Methods and Datasets in Scientific Publications. - Michael Färber 001; Alexander Albers; Felix Schüber (SDU@AAAI, 2021)

Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion. - Michael Färber 001; Frederic Bartscherer (BIAS, 2021)

Recommending Datasets for Scientific Problem Descriptions. - Michael Färber 001; Ann-Kathrin Leisinger (CIKM, 2021)

Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation. - Adam Jatowt; I-Chen Hung; Michael Färber 001; Ricardo Campos 001; Masatoshi Yoshikawa (ECIR (1), 2021)

Right for the Right Reasons: Making Image Classification Intuitively Explainable. - Anna Nguyen; Adrian Oberföll; Michael Färber 001 (ECIR (2), 2021)

CLiT: Combining Linking Techniques for Everyone. - Kristian Noullet; Samuel Printz; Michael Färber 001 (ESWC (Satellite Events), 2021)

Quantifying Explanations of Neural Networks in E-Commerce Based on LRP. - Anna Nguyen; Franz Krause; Daniel Hagenmayer; Michael Färber 001 (ECML/PKDD (5), 2021)

DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. - Michael Färber 001; Ann-Kathrin Leisinger (RecSys, 2021)

C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations. - Michael Färber 001; Vinzenz Zinecker; Isabela Bragaglia Cartus; Sebastian Celis; Maria Duma (WWW (Companion Volume), 2021)

Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. - Michael Färber 001; Anna Steyer (CoRR, 2021)

Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. - Michael Färber 001; Alexander Klein (CoRR, 2021)

Improving question answering for event-focused questions in temporal collections of news articles. - Jiexin Wang; Adam Jatowt; Michael Färber 001; Masatoshi Yoshikawa (Inf. Retr. J., 2021)

The data set knowledge graph: Creating a linked open data source for data sets. - Michael Färber 001; David Lamprecht (Quant. Sci. Stud., 2021)

When to Use Which Neural Network? Finding the Right Neural Network Architecture for a Research Problem. - Michael Färber 001; Nicolas Weber (SDU@AAAI, 2022)

Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. - Leopold Müller; Lars Böcking; Michael Färber 001 (SafeAI@AAAI, 2022)

Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References. - Igor Shapiro; Tarek Saier; Michael Färber 001 (SDU@AAAI, 2022)

Which Publications' Metadata Are in Which Bibliographic Databases? A System for Exploration. - Michael Färber 001; Christoph Braun 002; Nicholas Popovic; Tarek Saier; Kristian Noullet (BIR@ECIR, 2022)

Explaining Convolutional Neural Networks by Tagging Filters. - Anna Nguyen; Daniel Hagenmayer; Tobias Weller; Michael Färber 001 (CIKM Workshops, 2022)

How does author affiliation affect preprint citation count?: analyzing citation bias at the institution and country level. - Chifumi Nishioka; Michael Färber 001; Tarek Saier (JCDL, 2022)

A Blocking-Based Approach to Enhance Large-Scale Reference Linking. - Tarek Saier; Meng Luan; Michael Färber 001 (ULITE@JCDL, 2022)

Few-Shot Document-Level Relation Extraction. - Nicholas Popovic; Michael Färber 001 (NAACL-HLT, 2022)

AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities. - Nicholas Popovic; Walter Laurito; Michael Färber 001 (SemEval@NAACL, 2022)

The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models. - Michael Färber 001; David Lamprecht (ISWC (Posters/Demos/Industry), 2022)

Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis. - Tanja Aue; Adam Jatowt; Michael Färber 001 (CoRR, 2022)

Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact. - Tarek Saier; Michael Färber 001; Tornike Tsereteli (Int. J. Digit. Libr., 2022)

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings. - Michael Färber 001; Lin Ao (Quant. Sci. Stud., 2022)

A Full-fledged Commit Message Quality Checker Based on Machine Learning. - David Faragó; Michael Färber 001; Christian Petrov (COMPSAC, 2023)

Ablesbarkeitsmesser: A System for Assessing the Readability of German Text. - Florian Pickelmann; Michael Färber 001; Adam Jatowt (ECIR (3), 2023)

Automatic Hint Generation. - Adam Jatowt; Calvin Gehrer; Michael Färber 001 (ICTIR, 2023)

CoCon: A Data Set on Combined Contextualized Research Artifact Use. - Tarek Saier; Youxiang Dong; Michael Färber 001 (JCDL, 2023)

unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network. - Tarek Saier; Johan Krause; Michael Färber 001 (JCDL, 2023)

A Full-Fledged Framework for Combining Entity Linking Systems and Components. - Kristian Noullet; Ayoub Ourgani; Michael Färber 001 (K-CAP, 2023)

Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. - Michael Färber 001; Nicholas Popovic (RANLP, 2023)

Evaluating Generative Models for Graph-to-Text Generation. - Shuzhou Yuan; Michael Färber 001 (RANLP, 2023)

Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph. - Michael Färber 001; David Lamprecht (ISWC (Posters/Demos/Industry), 2023)

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples. - Michael Färber 001; David Lamprecht; Johan Krause; Linn Aung; Peter Haase 001 (ISWC, 2023)

Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. - Daniel Bogdoll; Jonas Hendl; Felix Schreyer; Nishanth Gowda; Michael Färber 001; J. Marius Zöllner (CoRR, 2023)

Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election. - Michael Färber 001; Jannik Schwade; Adam Jatowt (CoRR, 2023)

Biases in scholarly recommender systems: impact, prevalence, and mitigation. - Michael Färber 001; Melissa Coutinho; Shuzhou Yuan (Scientometrics, 2023)

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. - Shuzhou Yuan; Ercong Nie; Michael Färber 001; Helmut Schmid; Hinrich Schütze (ACL (Findings), 2024)

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. - Bolei Ma; Ercong Nie; Shuzhou Yuan; Helmut Schmid; Michael Färber 001; Frauke Kreuter; Hinrich Schütze (EACL (1), 2024)

HyperPIE: Hyperparameter Information Extraction from Scientific Publications. - Tarek Saier; Mayumi Ohta; Takuto Asakura; Michael Färber 001 (ECIR (2), 2024)

Embedded Named Entity Recognition using Probing Classifiers. - Nicholas Popovic; Michael Färber 001 (EMNLP, 2024)

KITspotlight: A System for Spotlighting Researchers in the Media. - Michael Färber 001; Benjamin Zagoruiko; Markus Wambach (ICWE, 2024)

The Effects of Hallucinations in Synthetic Training Data for Relation Extraction. - Steven Rogulsky; Nicholas Popovic; Michael Färber 001 (KBC-LM/LM-KBC@ISWC, 2024)

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. - Shuzhou Yuan; Michael Färber 001 (NAACL-HLT (Findings), 2024)

A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PON. - Chen Shao; Elias G. Giacoumidis; Shi Li; Jialei Li; Michael Färber 001; Tobias Käfer; André Richter (OFC, 2024)

AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. - Michael Färber 001; David Lamprecht; Yuni Susanti (ISWC (3), 2024)

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-Based Causal Discovery. - Yuni Susanti; Michael Färber 001 (ISWC (1), 2024)

Future Timelines: Extraction and Visualization of Future-related Content From News Articles. - Juwal Regev; Adam Jatowt; Michael Färber 001 (WSDM, 2024)

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. - Shuzhou Yuan; Ercong Nie; Bolei Ma; Michael Färber 001 (CoRR, 2024)

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. - Ercong Nie; Shuzhou Yuan; Bolei Ma; Helmut Schmid; Michael Färber 001; Frauke Kreuter; Hinrich Schütze (CoRR, 2024)

GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs. - Zhan Qu; Daniel Gomm; Michael Färber 001 (CoRR, 2024)

Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network. - Chen Shao; Elias G. Giacoumidis; Patrick Matalla; Jialei Li; Shi Li; Sebastian Randel; André Richter; Michael Färber 001; Tobias Käfer (CoRR, 2024)

Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey. - Chen Shao; Elias G. Giacoumidis; Syed Moktacim Billah; Shi Li; Jialei Li; Prashasti Sahu; André Richter; Tobias Käfer; Michael Faerber 001 (CoRR, 2024)

ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question Answering. - Raphael Gruber; Abdelrahman Abdallah; Michael Färber 001; Adam Jatowt (CoRR, 2024)

Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges. - Irem Aydin; Hermann Diebel-Fischer; Vincent Freiberger; Julia Möller-Klapperich; Erik Buchmann; Michael Färber 001; Anne Lauber-Rönsberg; Birte Platow (CoRR, 2024)

Graph-Guided Textual Explanation Generation Framework. - Shuzhou Yuan; Jingyi Sun; Ran Zhang; Michael Färber 001; Steffen Eger; Pepa Atanasova; Isabelle Augenstein (CoRR, 2024)

ML approaches for OTDR diagnoses in passive optical networks - event detection and classification: ways for ODN branch assignment. - Michael Straub; Johannes Reber; Tarek Saier; Robert Borkowski; Shi Li; Dmitry Khomchenko; André Richter; Michael Färber 001; Tobias Käfer; René Bonk (J. Opt. Commun. Netw., 2024)

Analyzing the impact of companies on AI research based on publications. - Michael Färber 001; Lazaros Tampakis (Scientometrics, 2024)

Benefits of international collaboration in computer science: a case study of China, the European Union, and the United States. - Alberto Gómez-Espés; Michael Färber 001; Adam Jatowt (Scientometrics, 2024)

SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification. - Michael Färber 001; Parisa Aghdam; Kyuri Im; Mario Tawfelis; Hardik Ghoshal (ECIR (4), 2025)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. - Zhan Qu; Shuzhou Yuan; Michael Färber 001; Marius Brennfleck; Niklas Wartha; Anton Stephan (KDD (1), 2025)

Predicting Company ESG Ratings from News Articles Using Multivariate Timeseries Analysis. - Tanja Aue; Adam Jatowt; Michael Färber 001 (WWW (Companion Volume), 2025)

Optical-access networks for smart sustainable cities: from network architecture to fiber deployment. - Md Mosaddek Hossain Adib; Patrick Matalla; Christoph Füllner; Shi Li; Elias G. Giacoumidis; Christian Raack; Ulrich Menne; Michael Straub; Tarek Saier; Christoph Schweikert; Stefan Orf; Martin Gontscharow; et al. (J. Opt. Commun. Netw., 2025)

Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. - Kristian Gonzalez Barman; Sascha Caron; Emily Sullivan; Henk W. de Regt; Roberto Ruiz de Austri; Mieke Boon; Michael Färber 001; Stefan Fröse; Faegheh Hasibi; Andreas Ipp; Rukshak Kapoor; Gregor Kasieczka; et al. (CoRR, 2025)

Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming. - Christoph Stein; Michael Färber 001 (CoRR, 2025)

Hallucinations Can Improve Large Language Models in Drug Discovery. - Shuzhou Yuan; Michael Färber 001 (CoRR, 2025)

Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages. - Andrei Politov; Oleh Shkalikov; René Jäkel; Michael Färber 001 (CoRR, 2025)

Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs. - Yuni Susanti; Michael Färber 001 (CoRR, 2025)

The Impact of International Collaborations with Highly Publishing Countries in Computer Science. - Alberto Gómez-Espés; Michael Färber 001; Adam Jatowt (CoRR, 2025)

LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. - Shuzhou Yuan; Ercong Nie; Lukas Kouba; Ashish Yashwanth Kangen; Helmut Schmid; Hinrich Schütze; Michael Färber 001 (CoRR, 2025)

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models. - Shuzhou Yuan; Ercong Nie; Mario Tawfelis; Helmut Schmid; Hinrich Schütze; Michael Färber 001 (CoRR, 2025)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems. - Michael Färber 001; David Lamprecht; Yuni Susanti (CoRR, 2025)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery. - Yuni Susanti; Michael Färber 001 (CoRR, 2025)

RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering. - Ines Besrour; Jingbo He; Tobias Schreieder; Michael Färber 001 (CoRR, 2025)

DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations. - Nicholas Popovic; Ashish Yashwanth Kangen; Tim Schopf; Michael Färber 001 (CoRR, 2025)

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks. - Shuzhou Yuan; Zhan Qu; Mario Tawfelis; Michael Färber 001 (CoRR, 2025)

PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs. - Zhan Qu; Shuzhou Yuan; Michael Färber 001 (CoRR, 2025)

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. - Shuzhou Yuan; William LaCroix; Hardik Ghoshal; Ercong Nie; Michael Färber 001 (CoRR, 2025)

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models. - Tobias Schreieder; Tim Schopf; Michael Färber 001 (CoRR, 2025)

Implementation of an open chemistry knowledge base with a Semantic Wiki. - Charlotte Neidiger; Tarek Saier; Kai Kühn; Victor Larignon; Michael Färber 001; Claudia Bizzarri; Helena Simek Tosino; Laura Holzhauer; Michael Erdmann; An Nguyen; Dean Harvey; Pierre Tremouilhac; et al. (J. Cheminformatics, 2025)