A Retrospective Context Mining Approach For Bootstrapping Personal Knowledge Assistants. - Desiree Heim; Christian Jilek; Heiko Maus; Andreas Dengel 001 (LWDA, 2022)

Towards Synthesizing E-Mail Conversations as Part of Knowledge Work Datasets with Large Language Models. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (EKAW (Companion), 2024)

Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (INFORMATIK, 2024)

LLM-KG-Bench 3.0: A Compass for Semantic Technology Capabilities in the Ocean of LLMs. - Lars-Peter Meyer; Johannes Frey; Desiree Heim; Felix Brei; Claus Stadler; Kurt Junghanns; Michael Martin 001 (ESWC (2), 2025)

Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (ICAART (3), 2025)

LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs. - Lars-Peter Meyer; Johannes Frey; Desiree Heim; Felix Brei; Claus Stadler; Kurt Junghanns; Michael Martin 001 (CoRR, 2025)

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance. - Desiree Heim; Lars-Peter Meyer; Markus Schröder 001; Johannes Frey; Andreas Dengel 001 (CoRR, 2025)