Programme

09:00	Welcome and Introduction (organisers)
09:10	Invited Keynote - Yufang Hou Synthesizing Scientific Knowledge: From Biomedical Evidence to NLP Claims
	Session 1: SHARED TASK OVERVIEW PAPERS
09:50	ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims Raia Abu Ahmad, Max Upravitelev, Aida Usmanova, Veronika Solopova and Georg Rehm
10:10	The Software Mention Detection and Coreference Resolution Shared Task 2026 Sharmila Upadhyaya, Wolfgang Otto, Julia Matela, Frank Krüger and Stefan Dietze
10:30	Coffee Break & Poster Session
	Session 2: SCHOLARLY INFRASTRUCTURE AND DATA FOUNDATIONS
	Track A: Knowledge Graphs & Taxonomy (Chair: Sonja Schimmler)
11:00	Comparing LLM-Based Knowledge Graph Extraction Approaches on Literary Studies in Spanish: A Case Study on Orbis Tertius Federico Cortes
11:20	Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, Julian Moreno-Schneider and Georg Rehm
11:40	UniCite: A Dataset and Unified Hierarchical Taxonomy for Multi-Dimensional Citation Analysis Amina Mourky, Elena Leitner, Julian Moreno-Schneider, Raia Abu Ahmad, Ekaterina Borisova and Georg Rehm
	Track B: Domain-Specific Resources & Metadata (Chair: Fabio Barth)
12:00	Beyond Abstracts: A Biomedical MeSH Indexing Corpus Incorporating Summarized Methods Sections Sujoy Datta, Robert E. Mercer and Xindi Wang
12:20	AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma, Jennifer Lynn Bartlett, Daniel Chivvis, Anna Kelbert, Kelly Lockhart and Alberto Accomazzi
12:40	Normalizing section names and structure of scientific articles Nicolau Duran-Silva, Julian Moreno-Schneider, César A. Parra-Rojas and Georg Rehm
12:50	Generating Research Data Metadata from Their Accompanying README Files Kotaro Sekido, Yu Watanabe, Koichiro Ito and Shigeki Matsubara
13:00	Lunch Break
	Session 3: RELIABILITY, REACH & SCALE
	Track C: Factuality & Agentic Reasoning (Chair: Raia Abu Ahmad)
14:00	Enhancing Factuality and Transparency in Generative Models for Biomedical Question Answering Ankita Behura, Siting Liang and Daniel Sonntag
14:20	The Linguist's Lie Detector: Benchmarking Linguistic Veracity in Large Language Models Lucía Catalán Gris, Kim Gerdes and John S. Y. Lee
14:40	Improving Completeness in Deep Research Agents through Targeted Enrichment Jesse Wonnink, Jakub Zavrel and Paul Groth
	Track D: Multilingualism & Model Optimization (Chair: Sharmila Upadhyaya)
15:00	Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer Nikolas Ching-Pu Rauscher, Fabio Barth and Georg Rehm
15:20	Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction Tomás Pinto, Catarina Silva and Hugo Goncalo Oliveira
15:40	Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models Florian Kelber, Matthias Jobst, Yuni Susanti and Michael Färber
16:00	Coffee Break & Poster Session
16:30	Invited Keynote - Iryna Gurevych Welcoming AI as a New Colleague: How Should We Evaluate AI for Science?
17:15	Wrap-up and end of workshop