Papers by Yu-Xiang Lin

2 papers
Generating Attractive and Authentic Copywriting from Customer Reviews (2024.naacl-long)

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Challenge: Typical approaches to copywriting focus on product attributes, leading to dull and repetitive content.
Approach: They propose to generate copywriting based on customer reviews as they provide firsthand practical experiences with products, offering a richer source of information than just product attributes.
Outcome: The proposed framework outperforms baseline and zero-shot large language models in terms of both attractiveness and faithfulness.
Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models (2026.findings-acl)

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Challenge: Unlike textonly large language models (LLMs), SLMs integrate audio encoders and vocoders to support end-to-end speech understanding and generation.
Approach: They evaluate three proprietary and two open-source SLMs and show that none of them can maintain a consistent speaking style when instructed to do so.
Outcome: The proposed models cannot maintain a consistent speaking style after several turns of interaction, but can recall the style instruction when prompted in later turns, but fail to express it.

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