Abstract
Large language models (LLMs) can be accessed and interacted with via a multimodal chat interface. LLMs can enhance user productivity and information organization. This disclosure describes techniques that extend the interface of the LLM to a beyond-the-chat, free-form interface. The interface utilizes an information algebra framework for LLMs on structured input and output such as sticky notes, symbols, tags, etc. using custom fine-tuned routing models to determine user intent. A suitably intuitive meaning is assigned to ‘add,’ ‘subtract,’ and similar algebra-like operations on structured input and output. As the model matures and reads user intent more accurately, human-AI interactions are made more fluid, resulting in a reduction in the time needed to organize information.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shin, D, "An Information-Algebra Framework for an AI-driven User Interface", Technical Disclosure Commons, (September 04, 2025)
https://www.tdcommons.org/dpubs_series/8556