TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus
October 03, 2023 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Rafael Ferreira, Diogo Tavares, Diogo Silva, Rodrigo Valรฉrio, Joรฃo Bordalo, Inรชs Simรตes, Vasco Ramos, David Semedo, Joรฃo Magalhรฃes
arXiv ID
2310.02118
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In this report, we describe the vision, challenges, and scientific contributions of the Task Wizard team, TWIZ, in the Alexa Prize TaskBot Challenge 2022. Our vision, is to build TWIZ bot as an helpful, multimodal, knowledgeable, and engaging assistant that can guide users towards the successful completion of complex manual tasks. To achieve this, we focus our efforts on three main research questions: (1) Humanly-Shaped Conversations, by providing information in a knowledgeable way; (2) Multimodal Stimulus, making use of various modalities including voice, images, and videos; and (3) Zero-shot Conversational Flows, to improve the robustness of the interaction to unseen scenarios. TWIZ is an assistant capable of supporting a wide range of tasks, with several innovative features such as creative cooking, video navigation through voice, and the robust TWIZ-LLM, a Large Language Model trained for dialoguing about complex manual tasks. Given ratings and feedback provided by users, we observed that TWIZ bot is an effective and robust system, capable of guiding users through tasks while providing several multimodal stimuli.
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