54 citations · 212 across the 21 of their papers we have counts for
3 papers · 1 filter
Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +1
Large language models (LLMs) can now synthesize non-trivial executable code from textual descriptions, raising an important question: can LLMs reliably implement agent-based models…
GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries
Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +2
Large Language Models (LLMs) have advanced rapidly as tools for automating code generation in scientific research, yet their ability to interpret and use unfamiliar Python APIs for…
DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 generate correct code for LoRaWAN-related engineering tasks
Daniel Fernandes, João P. Matos-Carvalho, Carlos M. Fernandes +1
This paper investigates the performance of 16 Large Language Models (LLMs) in automating LoRaWAN-related engineering tasks involving optimal placement of drones and received power…