SHARE: Social-Humanities AI for Research and Education

João Gonçalves, Sonia de Jager, Petr Knoth, David Pride, Nick Jelicic
4/13/2026
cs.CL

No official code found. Best implementation: Joaoffg/SHARE (1 star, last commit 2026-04-14).

Abstract

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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Code Implementations(1)

Joaoffg/SHARECommunity72%

Code for the Social-Humanities AI for Research and Education

10PythonJun 27, 20256 months ago

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Cite this paper

@article{gonalves2026share,
  title  = {SHARE: Social-Humanities AI for Research and Education},
  author = {João Gonçalves and Sonia de Jager and Petr Knoth and David Pride and Nick Jelicic},
  year   = {2026},
  eprint = {2604.11152},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2604.11152v1}
}

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