In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
Q: Baselines We thoroughly compare our approaches to the following baselines:

Direct source$
ightarrow $target: A standard NMT model trained on given source$
ightarrow $target parallel data.

Multilingual: A single, shared NMT model for multiple translation directions BIBREF6.

Many-to-many: Trained for all possible directions among source, target, and pivot languages.

Many-to-one: Trained for only the directions to target language, i.e., source$
ightarrow $target and pivot$
ightarrow $target, which tends to work better than many-to-many systems BIBREF27.
A:
What are multilingual models that were outperformed in performed experiment?