Topics of interest

We invite methodological, resource, evaluation, system, and position papers on, but not limited to:

• LLMs, multimodal models, representation learning, domain adaptation, and scientific-language resources;
• Scholarly document understanding: structure & layout, figures, tables, equations, and multimodal grounding;
• IE, NER, linking & coreference, relations & events, extraction of datasets, software, methods, tasks, results, claims;
• Scholarly and research KGs, linked research objects, semantic annotation, Web-scale metadata integration, provenance, interoperability, machine-actionable scientific knowledge;
• Web-scale scholarly search and recommendation, retrieval-augmented AI, scientific QA and synthesis, literature discovery, and autonomous or human-in-the-loop research agents;
• Citation & context analysis, discourse & argumentation, novelty & contribution modeling, and claim & evidence linking;
• Peer review and writing & reading support, research integrity & reproducibility, generated-content detection, bibliometrics & scientometrics, and science-of-science;
• Factuality, uncertainty, robustness, explainability, reproducible evaluation, and responsible & human-centered deployment;
• Scholarly Web content, FAIR and open Web resources, digital libraries, repository ecosystems, interoperable research infrastructures, cross-platform scholarly data integration.