Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation

Adapting Large Language Models (LLMs) for recommendation requires careful consideration of the decoding process, given the inherent differences between generating items and natural language. Existing approaches often directly apply LLMs' original decoding methods. However, we find these methods...

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Bibliographische Detailangaben

Hauptverfasser:	Bao, Keqin, Zhang, Jizhi, Zhang, Yang, Huo, Xinyue, Chen, Chong, Feng, Fuli
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval
Online-Zugang:	Volltext bestellen
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