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CITATION.cff
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cff-version: 1.2.0
title: >-
BoilerBot: A Reliable Task-Oriented Chatbot Enhanced with
Large Language Models
message: >-
If you use this software, please cite it using the
metadata from this file.
type: inproceedings
authors:
- given-names: Yifei
family-names: Hu
email: [email protected]
affiliation: Purdue University
- given-names: Jinen
family-names: Setpal
email: [email protected]
affiliation: Purdue University
orcid: 'https://orcid.org/0000-0002-8959-0451'
- given-names: Damin
family-names: Zhang
email: [email protected]
affiliation: Purdue University
- given-names: Jacob
family-names: Zietek
email: [email protected]
affiliation: Purdue University
- given-names: Jack
family-names: Lambert
email: [email protected]
affiliation: Purdue University
- given-names: Alex
family-names: Gonzalez
email: [email protected]
affiliation: Purdue University
- given-names: Julia
family-names: Rayz
email: [email protected]
affiliation: Purdue University
identifiers:
- type: url
value: >-
https://www.amazon.science/alexa-prize/proceedings/boilerbot-a-reliable-task-oriented-chatbot-enhanced-with-large-language-models
description: Publication
- type: url
value: >-
https://assets.amazon.science/8c/03/80c814a749f58e73a1aeda2ff282/boilerbot-tb2-final-2023.pdf
description: PDF
repository-code: 'https://dagshub.com/jinensetpal/boilerbot/'
abstract: >-
This paper outlines the design and deployment of
BoilerBot: a task-oriented multi- modal conversational
agent developed for the Alexa Prize TaskBot 2 competition.
BoilerBot features flexible response generation,
leveraging large language models (LLMs) to enable
adaptable user experiences. We discuss our novel
contributions towards advancing state-of-the-art
task-oriented conversational agents, highlighting
user-facing challenges and proposing fault-tolerant,
iterative solutions for carefully guided workflows that
enable Alexa users to maximize BoilerBot’s functionality.
license: Apache-2.0