Paper [15], in preparation
VeriBIM: Natural-Language Editing of IFC Building Models with a Verifier-Trained, Locally Deployable Language Model
Automation in Construction (target venue). In preparation.
Summary
VeriBIM is a locally deployable language model that edits IFC building models from natural-language instructions. An IFC verifier that scores geometry, semantics and topology is used to filter training data, to label preference pairs, and as the reward in reinforcement learning.
Cite
@unpublished{zhangveribim,
title = {VeriBIM: Natural-Language Editing of IFC Building Models with a Verifier-Trained, Locally Deployable Language Model},
author = {Zhang, Z. and Zhang, W.},
note = {In preparation, target venue Automation in Construction}
}