DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

Recent advances in natural language processing, primarily propelled by Large Language Models (LLMs), have showcased their remarkable capabilities grounded in in-context learning. A promising avenue for guiding LLMs in intricate reasoning tasks involves the utilization of intermediate reasoning steps...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Xiong, Jing, Li, Zixuan, Zheng, Chuanyang, Guo, Zhijiang, Yin, Yichun, Xie, Enze, Yang, Zhicheng, Cao, Qingxing, Wang, Haiming, Han, Xiongwei, Tang, Jing, Li, Chengming, Liang, Xiaodan
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Context Large language models Mathematical analysis Natural language processing Performance enhancement Queries Questions Ranking Reasoning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!