Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

Developing adaptable, extensible, and accurate task bots with minimal or zero human intervention is a significant challenge in dialog research. This thesis examines the obstacles and potential solutions for creating such bots, focusing on innovative techniques that enable bots to learn and adapt autonomously in constantly changing environments.

Publication Details

Journal
ArXiv.org
Published
2025-08-27
Primary Topic
Geochemistry and Elemental Analysis
Type
article
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article

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

ArXiv.org
Geochemistry and Elemental Analysis
article

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

article en

Abstract

Developing adaptable, extensible, and accurate task bots with minimal or zero human intervention is a significant challenge in dialog research. This thesis examines the obstacles and potential solutions for creating such bots, focusing on innovative techniques that enable bots to learn and adapt autonomously in constantly changing environments.

ArXiv.org
Openalex Percentile: Top 46%
Geochemistry and Elemental Analysis
Open Access PDFOpenAlex
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Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality · ArXiv.org (2025) | TGRS Research Map | TGRS