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cs.CL2026
From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference
Darina Gold, Alexander Schwirjow, Viktor Haag +4
We present ELMOD - Efficient Language Model for On-Device Deployment - a compact (2.7B) German language model designed for efficient inference on resource-constrained hardware. ELM…
cs.LG2026
CEDAR: Context Engineering for Agentic Data Science
Rishiraj Saha Roy, Chris Hinze, Luzian Hahn +1
We demonstrate CEDAR, an application for automating data science (DS) tasks with an agentic setup. Solving DS problems with LLMs is an underexplored area that has immense market va…