Directgpt: A Direct Manipulation Interface To Interact With Large Language Models | Awesome LLM Papers Add your paper to Awesome LLM Papers

Awesome LLM Papers

A continuously updated collection of research papers on LLMs. Maintained by Sean Moran.

Stay Updated

Contact Sean Moran about this survey or website. Made with Jekyll and Hyde.

Directgpt: A Direct Manipulation Interface To Interact With Large Language Models

Damien Masson, Sylvain Malacria, Géry Casiez, Daniel Vogel . CHI '24: CHI Conference on Human Factors in Computing Systems 2024 – 52 citations

[Code] [Paper]   Search on Google Scholar   Search on Semantic Scholar
Compositional Generalization Interdisciplinary Approaches Multimodal Semantic Representation Prompting

We characterize and demonstrate how the principles of direct manipulation can improve interaction with large language models. This includes: continuous representation of generated objects of interest; reuse of prompt syntax in a toolbar of commands; manipulable outputs to compose or control the effect of prompts; and undo mechanisms. This idea is exemplified in DirectGPT, a user interface layer on top of ChatGPT that works by transforming direct manipulation actions to engineered prompts. A study shows participants were 50% faster and relied on 50% fewer and 72% shorter prompts to edit text, code, and vector images compared to baseline ChatGPT. Our work contributes a validated approach to integrate LLMs into traditional software using direct manipulation. Data, code, and demo available at https://osf.io/3wt6s.

Similar Work