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Ines Zelch

3 papers hereh-index 586 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IR3

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDetecting Generated Native Ads in Conversational Search

10 citations · 13 across the 3 of their papers we have counts for

collaborators
Showing cs.IRShow all

3 papers · 1 filter

cs.IR2026

Detecting RAG Advertisements Across Advertising Styles

Sebastian Heineking, Wilhelm Pertsch, Ines Zelch +4

Large language models (LLMs) enable a new form of advertising for retrieval-augmented generation (RAG) systems in which organic responses are blended with contextually relevant ads…

cs.IR2024★ 10 cited

Detecting Generated Native Ads in Conversational Search

Sebastian Schmidt, Ines Zelch, Janek Bevendorff +3

Conversational search engines such as YouChat and Microsoft Copilot use large language models (LLMs) to generate responses to queries. It is only a small step to also let the same…

cs.IR2023★ 3 cited

Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search

Ines Zelch, Matthias Hagen, Martin Potthast

How will generative AI pay for itself? Unless charging users for access, selling advertising is the only alternative. Especially in the multi-billion dollar web search market with…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.