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News/Lost in Backpropagation: The LM Head is a Gradient Bottleneck
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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Lost in Backpropagation: The LM Head is a Gradient Bottleneck

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arXiv:2603.10145v2 Announce Type: replace Abstract: The last layer of neural language models (LMs) projects output features of dimension $D$ to logits in dimension $V$, the size of the vocabulary, where usually $D \ll V$. This mismatch is known to raise risks of limited expressivity in neural LMs, c

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