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Bibliographic Details
Main Author: Zhang, Xiaoying
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.19689
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author Zhang, Xiaoying
author_facet Zhang, Xiaoying
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2508_19689
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality
Zhang, Xiaoying
Computation and Language
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.
title Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality
topic Computation and Language
url https://arxiv.org/abs/2508.19689