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SHARE: Social-Humanities AI for Research and Education

arXiv 2604.11152 ↗First posted 13 Apr 2026cs.CLcited by 0

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Abstract (arXiv)

This intermediate technical report introduces the SHARE family of base models and the MIRROR user interface. The SHARE models are the first causal language models fully pretrained by and for the social sciences and humanities (SSH). Their performance in modelling SSH texts is close to that of general purpose models (Phi-4) which use 100 times more tokens, as shown by our custom SSH Cloze benchmark. The MIRROR user interface is designed for reviewing text inputs from the SSH disciplines while preserving critical engagement. By prototyping a generative AI interface that does not generate any text, we propose a way to harness the capabilities of the SHARE models without compromising the integrity of SSH principles and norms.

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References · 14

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  10. 2022SsciBERT: A Pre-trained Language Model for Social Science Textscited by 12
  11. 2025Blackbox Model Provenance via Palimpsestic Membership Inferencecited by 11
  12. 2024AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Modelscited by 9
2 more
  1. 2025Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levelscited by 7
  2. 2024The advantages of context specific language models: the case of the Erasmian Language Modelcited by 1

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