Large Language Models Archives

Examining Tech Bias – Analyzing Career Recommendations in LLMs through Demographic Persona-Based Prompting

Jul 31, 2026

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by

Saba Zolfaghari

in Bachelor Thesis, Research, Thesis

Supervisor: Julia Neidhardt

The impact of using Large Language Models on the performance of Recommender Systems

May 12, 2026

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by

Saba Zolfaghari

in Master Thesis, Research, Thesis

Author: Michael Schmiedmayer Supervisor: Julia Neidhardt, Co-Supervisor: Ahmadou Wagne Abstract This thesis investigates the integration of Large Language Models (LLMs) into Conversational Recommender Systems (CRSs), evaluating the impact of model scale and hyperparameter configurations on retrieval performance. Moving beyond purely synthetic benchmarks, this research introduces a novel, end-to-end evaluation framework grounded in real-world user behaviour.…

Bias in medical recommendations: Prompting vs. fine-tuning of large language models

Apr 1, 2026

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by

Saba Zolfaghari

in Master Thesis, Research, Thesis

Author: Daha Pavlovic Supervisor: Julia Neidhardt, Co-Supervisor: Bernhard Krüpl-Sypien Abstract A significant use case for large language models (LLMs) is the provision of medical advice, including diagnostic suggestions, treatment plans and healthcare recommendations. As individuals increasingly rely on LLMs for initial medical consultations either before visiting a healthcare professional or, in some cases, instead of…

Tag: Large Language Models

Examining Tech Bias – Analyzing Career Recommendations in LLMs through Demographic Persona-Based Prompting

The impact of using Large Language Models on the performance of Recommender Systems

Bias in medical recommendations: Prompting vs. fine-tuning of large language models