Large language models (LLMs) are on the rapid rise to empower human researchers in science production at all stages, from the initial conception of research problems to reporting scientific discoveries. Recently, American publisher Wiley surveyed 5,000 researchers across 70 countries and found that majority support LLM adoption in scientific production. A very recent survey by SciProdLLM's organizing committee (Eger et al., 2025) provides an overview of LLM-based science production for users looking to incorporate LLMs into their research workflows, while informing researchers of the current status of this emerging topic, regarding datasets, methods, limitations and future directions.
The 1st Workshop on Human–LLM Collaboration for Ethical and Responsible Science Production (SciProdLLM 2025) solicits work that (i) integrates human oversight into LLM-assisted research workflows to ensure scientific rigor and ethical standards and (ii) evaluates LLMs for science production and LLM-assisted papers, neither of which have been emphasized in previous scientific discovery workshops such as NLP4Science, In2Writing, and AI & Scientific Discovery.
For further details, see our call for papers and list of reference papers.
All deadlines are 23:59 UTC−12 (“Anywhere on Earth”).
Email: SciProdLLM@groups.io