Retrieval augmented generation-driven information retrieval and question answering in construction management
Chinese Academy of Sciences · Shenzhen Institutes of Advanced Technology · +3 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
42
total citations
- FWCI
- 33.76
- Percentile
- 100%
- References
- 55
Citations per year
Authors
8- CWChengke Wu
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- WDWenjun Ding
China State Construction Engineering (China)
- QJQisen Jin
China State Construction Engineering (China)
- JJJunjie Jiang
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- RJRui Jiang
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
Topics & keywords
Topics
Keywords
- Question answering
- Information retrieval
- Computer science
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAwards: 72204248, 52208324
- YIYouth Innovation Promotion Association of the Chinese Academy of SciencesAward: 2021358
- STScience, Technology and Innovation Commission of Shenzhen MunicipalityAwards: JSGG20220831105800002, RCBS20221008093307015
- BABasic and Applied Basic Research Foundation of Guangdong ProvinceAward: 2023A1515011162