2 papers
cs.RO2026
Auto-HSI: Personalized human control of a robot swarm on demand by using LLMs for online automatic code generation
Alessandro Nazzari, Nathan Cerisara, Dorian Tonnis +5
This paper presents Auto-HSI, a method for generating personalized human-swarm interaction (HSI) interfaces on demand. The objective is to enable untrained operators to use natural…
cs.CL2025
Ladder Up, Memory Down: Low-Cost Fine-Tuning With Side Nets
Estelle Zheng, Nathan Cerisara, Sébastien Warichet +2
Fine-tuning large language models (LLMs) is often limited by the memory available on commodity GPUs. Parameter-efficient fine-tuning (PEFT) methods such as QLoRA reduce the number…