pith:SAH3XESM
Laplacian Heads Improve Transformers by Smoothing Token Representations
Replacing some attention heads with Laplacian operators improves Transformer performance by enabling beneficial smoothing of token representations.
arxiv:2602.09297 v3 · 2026-02-10 · cs.LG
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Record completeness
Claims
We show that this simple modification improves performance across supervised learning, language modeling, and self-supervised learning tasks.
That the performance gains are caused by the smoothing mechanism of the Laplacian heads rather than incidental changes in optimization dynamics or capacity.
Laplacian heads replace some attention matrices with I minus P in Transformers, improving performance by smoothing tokens and challenging the view that oversmoothing is always detrimental.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:00:34.094185Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SAH3XESM4CCNNG6KAWXAXF5D5H \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 900fbb924ce084d69bca05ae0b97a3e9df2ab81f3a0b8f856e9663f8b3fedd12
Canonical record JSON
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