Research on Tibetan Tourism Viewpoints information generation system based on LLM
Jinhu Qi, Shuai Yan, Wentao Zhang, Yibo Zhang, Zirui Liu, Ke Wang

TL;DR
This paper presents the DualGen Bridge AI system, a novel LLM-based approach to generate and evaluate tourist site information, aiming to improve Tibet's tourism services through advanced, tailored information generation and assessment frameworks.
Contribution
It introduces the DualGen Bridge AI system with supervised fine-tuning and a multi-structured evaluation framework, advancing LLM application in Tibetan tourism information generation.
Findings
Empirical validation confirms the effectiveness of the evaluation framework.
Supervised fine-tuning enhances the quality of generated tourist information.
The system supports improved tourism service infrastructure in Tibet.
Abstract
Tibet, ensconced within China's territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The very essence of these attributes, however, has impeded the advancement of Tibet's tourism service infrastructure, rendering existing smart tourism services inadequate for the region's visitors. This study delves into the ramifications of informational disparities at tourist sites on Tibetan tourism and addresses the challenge of establishing the Large Language Model (LLM) evaluation criteria. It introduces an innovative approach, the DualGen Bridge AI system, employing supervised fine-tuning techniques to bolster model functionality and enhance optimization processes. Furthermore, it pioneers a multi-structured generative results assessment framework. Empirical validation…
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Taxonomy
TopicsAdvanced Computational Techniques and Applications · Web Applications and Data Management · Wireless Sensor Networks and IoT
Methodstravel james
