SHARE: Social-Humanities AI for Research and Education
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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João Gonçalves
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Sonia de Jager
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Petr Knoth
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David Pride
69dde4cbaea31e227c22c68e
Nick Jelicic
SHARE: Social-Humanities AI for Research and Education
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.
SHARE models are causal language models pre-trained specifically for social sciences and humanities that match general-purpose model performance while MIRROR provides a text review interface that preserves critical engagement without generating content.
causal language models pretraining social sciences and humanities SSH Cloze benchmark generative AI interface