159 citations
- ETH ZurichCH4 papers
- University of BernCH4 papers
- Technical University of MunichDE3 papers
- University of BaselCH3 papers
- Cardiff UniversityGB2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Nantes UniversitéFR2 papers
- Swisscom (Switzerland)CH2 papers
- University of GenevaCH2 papers
- University of ZurichCH2 papers
- ZHAW Zurich University of Applied SciencesCH2 papers
- Aalto UniversityFI1 paper
Showing cs.CLShow all
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cs.CL2025★ 1 cited
Emergent Convergence in Multi-Agent LLM Annotation
Angelina Parfenova, Alexander Denzler, Juergen Pfeffer
Large language models (LLMs) are increasingly deployed in collaborative settings, yet little is known about how they coordinate when treated as black-box agents. We simulate 7500 m…
cs.CL2025★ 10 cited
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
Angelina Parfenova, Andreas Marfurt, Alexander Denzler +1
This paper investigates the automation of qualitative data analysis, focusing on inductive coding using large language models (LLMs). Unlike traditional approaches that rely on ded…
cs.CL2024★ 4 cited
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
Majid Zarharan, Pascal Wullschleger, Babak Behkam Kia +2
This paper presents a comprehensive analysis of explainable fact-checking through a series of experiments, focusing on the ability of large language models to verify public health…