LMNet connects stripped LLMs as nodes with trainable seq2seq edges for dense vector exchange, supporting supervision-efficient learning through differentiable communication.
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Language Model Networks: Supervision-Efficient Learning through Dense Communication
LMNet connects stripped LLMs as nodes with trainable seq2seq edges for dense vector exchange, supporting supervision-efficient learning through differentiable communication.