GreenLeaf Law Embed Tiny achieves competitive performance with a 0.6B parameter embedding model for legal domain retrieval
Read the original at arxiv.org→arXiv:2608.24936v1 Announce Type: new Abstract: We present GreenLeaf Law Embed Tiny, a 0.6B parameter embedding model for legal domain retrieval. GreenLeaf-Tiny achieves 75.11% on the Massive Legal Embedding...
Original headline: "GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval"
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- Aug 27, 04:00 UTC arXiv cs.LG lead source GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval