KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants

An effective multi-turn instruction-following assistant can be developed by creating a simulator that can generate useful interaction data. Apart from relying on its intrinsic weights, an ideal user simulator should also be able to bootstrap external knowledge rapidly in its raw form to simulate the multifarious diversity of text available over the internet. Previous user simulators generally lacked diversity, were mostly closed domain, and necessitated rigid schema making them inefficient to rapidly scale to incorporate external knowledge. In this regard, …

assistant assistants bootstrap cs.ai cs.cl cs.hc cs.ir data diversity form generate intrinsic knowledge language language model raw text training