What's the best technique to train the model to stop responding? A bit of fine tuning on texts with EOS markers?

I didn't see many papers on solving this problem.

I see non-stop response as a generalization problem because normally every training sample is not of infinite length.

Targeted supervised fine-tuning should work, as long as you have enough samples. However, supervised fine-tuning is not good for generalization.