Enhancing Conversational Search with Large Language Models
被引:0
作者:
Rocchietti, Guido
论文数: 0引用数: 0
h-index: 0
机构:
CNR, ISTI, Pisa, ItalyCNR, ISTI, Pisa, Italy
Rocchietti, Guido
[1
]
Muntean, Cristina Ioana
论文数: 0引用数: 0
h-index: 0
机构:
CNR, ISTI, Pisa, ItalyCNR, ISTI, Pisa, Italy
Muntean, Cristina Ioana
[1
]
Nardini, Franco Maria
论文数: 0引用数: 0
h-index: 0
机构:
CNR, ISTI, Pisa, ItalyCNR, ISTI, Pisa, Italy
Nardini, Franco Maria
[1
]
机构:
[1] CNR, ISTI, Pisa, Italy
来源:
ERCIM NEWS
|
2024年
/
136期
关键词:
D O I:
暂无
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
In the context of the Horizon Europe EFRA research project [L1], we explore the innovative use of Large Language Models (LLMs), both instructed and fine-tuned, in improving the quality of conversational search. The focus is on applying these models in rewriting conversational utterances to enhance the capability of conversational agents to retrieve accurate responses.