MenuCraft: Interactive Menu System Design with Large Language Models
Informations
- Type:
- misc
- Auteurs:
- Amir Hossein Kargaran and Nafiseh Nikeghbal and Abbas Heydarnoori and Hinrich Schütze
- Pertinence:
-
Moyenne
- Référence:
- kargaran2023menucraft
- Doi:
- Mots-clés:
- Url:
- https://arxiv.org/abs/2303.04496
- Date de publication:
- 03/2023
- Résumé:
- création de menu contextuels dans une conversation avec un llm
- Abstract:
-
Menu system design is a challenging task involving many design options and various human factors. For example, one crucial factor that designers need to consider is the semantic and systematic relation of menu commands. However, capturing these relations can be challenging due to limited available resources. With the advancement of neural language models, large language models can utilize their vast pre-existing knowledge in designing and refining menu systems.
In this paper, we propose MenuCraft, an AI-assisted designer for menu design that enables collaboration between the designer and a dialogue system to design menus. MenuCraft offers an interactive language-based menu design tool that simplifies the menu design process and enables easy customization of design options. MenuCraft supports a variety of interactions through dialog that allows performing few-shot learning. - Pdf:
- Lien pdf
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Auteurs
1 auteurs
| Nom | Nombre d'articles | Actions |
|---|---|---|
| Amir Hossein Kargaran and Nafiseh Nikeghbal and Abbas Heydarnoori and Hinrich Schütze | 1 |