arXiv Open Access 2025

Chinese Morph Resolution in E-commerce Live Streaming Scenarios

Jiahao Zhu Jipeng Qiang Ran Bai Chenyu Liu Xiaoye Ouyang

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Abstrak

E-commerce live streaming in China, particularly on platforms like Douyin, has become a major sales channel, but hosts often use morphs to evade scrutiny and engage in false advertising. This study introduces the Live Auditory Morph Resolution (LiveAMR) task to detect such violations. Unlike previous morph research focused on text-based evasion in social media and underground industries, LiveAMR targets pronunciation-based evasion in health and medical live streams. We constructed the first LiveAMR dataset with 86,790 samples and developed a method to transform the task into a text-to-text generation problem. By leveraging large language models (LLMs) to generate additional training data, we improved performance and demonstrated that morph resolution significantly enhances live streaming regulation.

Topik & Kata Kunci

cs.CL

Penulis (5)

Jiahao Zhu

Jipeng Qiang

Ran Bai

Chenyu Liu

Xiaoye Ouyang

Format Sitasi

APA MLA BibTeX

Zhu, J., Qiang, J., Bai, R., Liu, C., Ouyang, X. (2025). Chinese Morph Resolution in E-commerce Live Streaming Scenarios. https://arxiv.org/abs/2512.23280

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓