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  3. Evaluation Framework for Large Marketing Models Evaluation Framework for Large Marketing Models

Evaluation Framework for Large Marketing Models

Many companies use LLMs for market analysis, but a solid measurement of results quality is missing. This project develops a scientific and practically viable evaluation framework.

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

01.07.2025 - 30.06.2026

Overview

Many companies are experimenting with generative AI and Large Language Models (LLMs) or developing new services based on them, particularly in marketing, communication, and increasingly in market analysis. However, as shown by a literature review and discussions with industry experts, a consistent and comprehensive quality assessment of the results is lacking.

This project aims to develop and test an easy-to-apply, interdisciplinary LLM evaluation framework based on state-of-the-art methods, exchange with practitioners and industry experts, and academic literature. Within the proposed project, a Minimum Viable Concept (MVC) of the framework will be developed and tested using a dataset, with the goal of a follow-up project in which the framework can be further expanded, refined, and validated.

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Facts

Type of project

Forschung

Internal organisations involved
  • Applied AI Research Lab (AAI)
Funding
  • IDN - Carte Blanche Interdisziplinarität
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Persons involved: internal

Project manager
  • Simone Lionetti
Project Co-Head
  • Pascal Wullschleger
Member of project team
  • Marc Bravin
  • Michael Doerk

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

07/01/2025 - 06/30/2026

Project Head

Simone Lionetti

Lecturer

+41 41 757 68 76

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Project Co-Head

Pascal Wullschleger

Research Associate Doctoral Student

+41 41 349 30 53

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FH Zentralschweiz

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Lucerne University of Applied Sciences and Arts


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6002 Luzern

+41 41 228 42 42

info@hslu.ch

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