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  • Search: subject:"retrieval-augmented generation"
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Year of publication
Subject
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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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Online availability
All
Free 8 Undetermined 1
Type of publication
All
Article 5 Book / Working Paper 4
Type of publication (narrower categories)
All
Working Paper 4 Article 3 Arbeitspapier 1 Article in journal 1 Aufsatz im Buch 1 Aufsatz in Zeitschrift 1 Book section 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 8 German 1
Author
All
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 1 Wong, Ka Lok Kellogg 1
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Published in...
All
IUCF Working Paper 2 International Journal on Digital Libraries 2 Business & Information Systems Engineering 1 Business & information systems engineering 1 CESifo Working Paper 1 CESifo working papers 1 Finance and Large Language Models 1
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Source
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EconStor 6 ECONIS (ZBW) 3
Showing 1 - 9 of 9
Cover Image
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
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Cover Image
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
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Cover Image
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:
Cover Image
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:
Cover Image
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
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Cover Image
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
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Cover Image
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
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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
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Cover Image
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
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