From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs

Kerstin Denecke

From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs

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Abstract

In this paper, we study the capabilities of large language models (LLMs) to adapt a concert moderation to diverse expertise levels of listeners. Our proof-of-concept concert moderator is based on retrieval-augmented generation (RAG) and uses few-shot audience modelling to infer listener’s expertise. We study the capabilities of the system to adapt to three different listener’s expertise levels. Two open domain LLMs are compared: gpt-oss:20b and llama3. The recognised differences among the models suggest that they vary in how directly they reproduce versus paraphrase retrieved information while maintaining semantic alignment.

Anthology ID:: 2026.nlp4musa-1.1
Volume:: Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026)
Month:: March
Year:: 2026
Address:: Rabat, Morocco
Editors:: Elena V. Epure, Sergio Oramas, SeungHeon Doh, Pedro Ramoneda, Anna Kruspe, Mohamed Sordo
Venues:: NLP4MusA | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1–6
Language:
URL:: https://aclanthology.org/2026.nlp4musa-1.1/
DOI:
Bibkey:
Cite (ACL):: Kerstin Denecke. 2026. From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs. In Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026), pages 1–6, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):: From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs (Denecke, NLP4MusA 2026)
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PDF:: https://aclanthology.org/2026.nlp4musa-1.1.pdf

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@inproceedings{denecke-2026-novice,
    title = "From Novice to Expert: Generating Audience-Dependent Concert Moderations with {RAG}-{LLM}s",
    author = "Denecke, Kerstin",
    editor = "Epure, Elena V.  and
      Oramas, Sergio  and
      Doh, SeungHeon  and
      Ramoneda, Pedro  and
      Kruspe, Anna  and
      Sordo, Mohamed",
    booktitle = "Proceedings of the 4th Workshop on {NLP} for Music and Audio ({NLP}4{M}us{A} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.nlp4musa-1.1/",
    pages = "1--6",
    ISBN = "979-8-89176-369-2",
    abstract = "In this paper, we study the capabilities of large language models (LLMs) to adapt a concert moderation to diverse expertise levels of listeners. Our proof-of-concept concert moderator is based on retrieval-augmented generation (RAG) and uses few-shot audience modelling to infer listener{'}s expertise. We study the capabilities of the system to adapt to three different listener{'}s expertise levels. Two open domain LLMs are compared: gpt-oss:20b and llama3. The recognised differences among the models suggest that they vary in how directly they reproduce versus paraphrase retrieved information while maintaining semantic alignment."
}

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%0 Conference Proceedings
%T From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs
%A Denecke, Kerstin
%Y Epure, Elena V.
%Y Oramas, Sergio
%Y Doh, SeungHeon
%Y Ramoneda, Pedro
%Y Kruspe, Anna
%Y Sordo, Mohamed
%S Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-369-2
%F denecke-2026-novice
%X In this paper, we study the capabilities of large language models (LLMs) to adapt a concert moderation to diverse expertise levels of listeners. Our proof-of-concept concert moderator is based on retrieval-augmented generation (RAG) and uses few-shot audience modelling to infer listener’s expertise. We study the capabilities of the system to adapt to three different listener’s expertise levels. Two open domain LLMs are compared: gpt-oss:20b and llama3. The recognised differences among the models suggest that they vary in how directly they reproduce versus paraphrase retrieved information while maintaining semantic alignment.
%U https://aclanthology.org/2026.nlp4musa-1.1/
%P 1-6

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Markdown (Informal)

[From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs](https://aclanthology.org/2026.nlp4musa-1.1/) (Denecke, NLP4MusA 2026)

From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs (Denecke, NLP4MusA 2026)

ACL

Kerstin Denecke. 2026. From Novice to Expert: Generating Audience-Dependent Concert Moderations with RAG-LLMs. In Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026), pages 1–6, Rabat, Morocco. Association for Computational Linguistics.