works on
cost-effective training 1domain adaptation 1instruction tuning 1model merging 1reasoning language models 1supervised fine-tuning 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation

Yu-Du Feng, Niels Mündler-Sasahara, Mark Vero +1

The paper proposes a cheap method to adapt reasoning language models to new tasks by first instruction‑tuning them on ordinary supervised data and then merging the tuned model back…