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Search: subject:"retrieval-augmented generation"
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Retrieval-augmented generation
4
Artificial intelligence
3
Künstliche Intelligenz
3
AI
2
Event collections
2
Information retrieval
2
Knowledge graph
2
Large language models
2
RAG
2
Retrieval-Augmented Generation
2
Web archives
2
domain-specific information
2
large language models
2
portfolio management
2
retrieval-augmented generation
2
Generative artificial intelligence
1
Hybrid trading models
1
KI
1
Large Language Models (LLMs)
1
Low-Rank Adaptation (LoRA)
1
Online search
1
Online-Recherche
1
Portfolio selection
1
Portfolio-Management
1
Quantitative trading strategies
1
Retrieval-Augmented Generation (RAG)
1
artificial intelligence
1
generative artificial intelligence
1
portfolio allocation
1
portfolio allocation.
1
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Abdollahi, Sara
2
Becker, Marco
2
Gottschalk, Simon
2
Hornuf, Lars
2
Klesel, Michael
2
Nejdl, Wolfgang
2
Reinking, Ernst
2
Töllich, Niklas
2
Wittmann, H. Felix
2
Huang, Seth H.
1
Kim, Jimin
1
Streich, David J.
1
Streich, David Jia-Hui
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Wong, Ka Lok Kellogg
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IUCF Working Paper
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International Journal on Digital Libraries
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Business & Information Systems Engineering
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Business & information systems engineering
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CESifo Working Paper
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CESifo working papers
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Finance and Large Language Models
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EconStor
6
ECONIS (ZBW)
3
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9
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1
Making GenAI Smarter: Evidence from a Portfolio Allocation Experiment
Hornuf, Lars
;
Streich, David J.
;
Töllich, Niklas
-
2025
Retrieval-augmented
generation
(RAG) has emerged as a promising way to improve task-specific performance in generative …
Persistent link: https://www.econbiz.de/10015409750
Saved in:
2
Retrieval-Augmented
Generation
of Event Collections from Web Archives and the Live Web
Abdollahi, Sara
;
Nejdl, Wolfgang
;
Gottschalk, Simon
- In:
International Journal on Digital Libraries
26
(
2025
)
2
perspectives of web archivists, (ii) introduce EventExplorer – a
retrieval-augmented
generation
(RAG) approach to create event …
Persistent link: https://www.econbiz.de/10015436208
Saved in:
3
Retrieval-Augmented
Generation
of Event Collections from Web Archives and the Live Web
Abdollahi, Sara
;
Nejdl, Wolfgang
;
Gottschalk, Simon
- In:
International Journal on Digital Libraries
26
(
2025
)
2
perspectives of web archivists, (ii) introduce EventExplorer – a
retrieval-augmented
generation
(RAG) approach to create event …
Persistent link: https://www.econbiz.de/10015439296
Saved in:
4
Making GenAI smarter : evidence from a portfolio allocation experiment
Hornuf, Lars
;
Streich, David Jia-Hui
;
Töllich, Niklas
-
2025
Retrieval-augmented
generation
(RAG) has emerged as a promising way to improve task-specific performance in generative …
Persistent link: https://www.econbiz.de/10015396914
Saved in:
5
Retrieval-augmented
generation
(RAG)
Klesel, Michael
;
Wittmann, H. Felix
- In:
Business & information systems engineering
67
(
2025
)
4
,
pp. 551-561
Persistent link: https://www.econbiz.de/10015471119
Saved in:
6
Retrieval-Augmented
Generation
(RAG)
Klesel, Michael
;
Wittmann, H. Felix
- In:
Business & Information Systems Engineering
67
(
2025
)
4
,
pp. 551-561
Persistent link: https://www.econbiz.de/10015508914
Saved in:
7
Large language models and proprietary data - More accurate query results thanks to efficient data management and improved technical processes
Reinking, Ernst
;
Becker, Marco
-
2024
Retrieval-Augmented
Generation
(RAG) synergistically combines the intrinsic knowledge of LLMs with the huge, dynamic …
Retrieval-Augmented
Generation
(RAG) verbindet auf synergetische Weise das intrinsische Wissen von LLMs mit den …
Persistent link: https://www.econbiz.de/10014490230
Saved in:
8
Large Language Modelle und unternehmenseigene Daten - Genauere Abfrageergebnisse dank effizientem Datenmanagement und verbesserten technischen Verfahren
Reinking, Ernst
;
Becker, Marco
-
2024
Retrieval-Augmented
Generation
(RAG) verbindet auf synergetische Weise das intrinsische Wissen von LLMs mit den …
Retrieval-Augmented
Generation
(RAG) synergistically combines the intrinsic knowledge of LLMs with the huge, dynamic …
Persistent link: https://www.econbiz.de/10014490516
Saved in:
9
Advancing quantitative trading strategies using fine-tuned open-source large language models : a hybrid approach with numerical and textual data integration using RAG and LoRA techniques
Huang, Seth H.
;
Kim, Jimin
;
Wong, Ka Lok Kellogg
- In:
Finance and Large Language Models
,
(pp. 43-57)
.
2025
Persistent link: https://www.econbiz.de/10015454750
Saved in:
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