Do language models need a trainable input embedding table? Fixed minimal token codes at 1.7B-class scale
Read the original at arxiv.org→arXiv:2610.04002v1 Announce Type: new Abstract: A trainable input embedding table assigns each vocabulary item an independently adjustable vector. We investigate whether this token-specific parameterization is...
Original headline: "Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale"
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- Oct 6, 04:00 UTC arXiv cs.CL lead source Do Language Models Need a Trainable Input Embedding Table? Fixed Minimal Token Codes at 1.7B-Class Scale