Lars-Peter Meyer

24 papers C 1Journal 11Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ARUQULA - An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities. CoRR Felix Brei, Lorenz Bühmann, Johannes Frey, Daniel Gerber, Lars-Peter Meyer, Claus Stadler, Kirill Bulert
2025	—	`conf`	Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Sara Todorovikj, Lars-Peter Meyer, Michael Martin
2025	J	`jnl`	Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks. CoRR Sara Todorovikj, Lars-Peter Meyer, Michael Martin
2025	—	`conf`	How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance. ESWC-JP Desiree Heim, Lars-Peter Meyer, Markus Schröder, Johannes Frey, Andreas Dengel
2025	J	`jnl`	How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance. CoRR Desiree Heim, Lars-Peter Meyer, Markus Schröder, Johannes Frey, Andreas Dengel
2025	—	`conf`	LLM-KG-Bench 3.0: A Compass for Semantic Technology Capabilities in the Ocean of LLMs. ESWC (2) Lars-Peter Meyer, Johannes Frey, Desiree Heim, Felix Brei, Claus Stadler, Kurt Junghanns, Michael Martin
2025	J	`jnl`	LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs. CoRR Lars-Peter Meyer, Johannes Frey, Desiree Heim, Felix Brei, Claus Stadler, Kurt Junghanns, Michael Martin
2025	J	`jnl`	Queryfy: from knowledge graphs to questions using open Large Language Models: Enabling finetuning by question generation on given knowledge. it Inf. Technol. Felix Brei, Lars-Peter Meyer, Michael Martin
2024	—	`conf`	Assessing SPARQL Capabilities of Large Language Models. NLP4KGC@SEMANTiCS Lars-Peter Meyer, Johannes Frey, Natanael Arndt
2024	J	`jnl`	Assessing SPARQL capabilities of Large Language Models. CoRR Lars-Peter Meyer, Johannes Frey, Felix Brei, Natanael Arndt
2024	—	`conf`	Assessing the Evolution of LLM Capabilities for Knowledge Graph Engineering in 2023. ESWC Satellite Events (1) Johannes Frey, Lars-Peter Meyer, Felix Brei, Sabine Gründer-Fahrer, Michael Martin
2024	—	`conf`	Leveraging Small Language Models for Text2SPARQL Tasks to Improve the Resilience of AI Assistance. D2R2 Felix Brei, Johannes Frey, Lars-Peter Meyer
2024	J	`jnl`	Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance. CoRR Felix Brei, Johannes Frey, Lars-Peter Meyer
2023	—	`conf`	Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? DL4KG@ISWC Johannes Frey, Lars-Peter Meyer, Natanael Arndt, Felix Brei, Kirill Bulert
2023	J	`jnl`	Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? CoRR Johannes Frey, Lars-Peter Meyer, Natanael Arndt, Felix Brei, Kirill Bulert
2023	—	`conf`	Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. SEMANTiCS (Posters & Demos) Lars-Peter Meyer, Johannes Frey, Kurt Junghanns, Felix Brei, Kirill Bulert, Sabine Gründer-Fahrer, Michael Martin
2023	J	`jnl`	Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. CoRR Lars-Peter Meyer, Johannes Frey, Kurt Junghanns, Felix Brei, Kirill Bulert, Sabine Gründer-Fahrer, Michael Martin
2023	—	`conf`	LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT. AI Tomorrow Lars-Peter Meyer, Claus Stadler, Johannes Frey, Norman Radtke, Kurt Junghanns, Roy Meissner, Gordian Dziwis, Kirill Bulert, Michael Martin
2023	J	`jnl`	LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT. CoRR Lars-Peter Meyer, Claus Stadler, Johannes Frey, Norman Radtke, Kurt Junghanns, Roy Meissner, Gordian Dziwis, Kirill Bulert, Michael Martin
2023	—	`conf`	Scaling RML and SPARQL-based Knowledge Graph Construction with Apache Spark. KGCW@ESWC Claus Stadler, Lorenz Bühmann, Lars-Peter Meyer, Michael Martin
2022	—	`conf`	Ontoflow: A User-Friendly Ontology Development Workflow. SemIIM Gordian Dziwis, Lisa Wenige, Lars-Peter Meyer, Michael Martin
2019	J	`jnl`	Better a Microbenchmark on a Cluster than a User at the Office: Flink Cluster Benchmarking. Softwaretechnik-Trends David Geord Reichelt, Lars-Peter Meyer, Stefan Kühne
2013	C	`conf`	Modeling Service Life Cycles within Product Life Cycles. PRO-VE Christian Zinke, Lars-Peter Meyer, Kyrill Meyer
2013	—	`conf`	The Use of a Service Modeler Together with a PLM Software for the Management of Product-Related Services: A First Use-case-based Approach to Configure Service Components for Product-Related Services. PLM Christian Zinke, Kyrill Meyer, Florian Golemo, Lars-Peter Meyer

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.