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pith:BTT26H53

pith:2025:BTT26H53S5CHOTCCLFFKY2PSXC
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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Aaron Gokaslan, Jiaqi Han, Justin T. Chiu, Marianne Arriola, Subham Sekhar Sahoo, Volodymyr Kuleshov, Zhihan Yang, Zhixuan Qi

Block diffusion language models interpolate between autoregressive and diffusion approaches to support arbitrary-length generation.

arxiv:2503.09573 v3 · 2025-03-12 · cs.LG · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Block diffusion sets a new state-of-the-art performance among diffusion models on language modeling benchmarks and enables generation of arbitrary-length sequences.

C2weakest assumption

The assumption that the proposed training algorithm, estimators of gradient variance, and data-driven noise schedules will produce stable and effective models that generalize beyond the training data without hidden instabilities or overfitting.

C3one line summary

Block diffusion language models interpolate between autoregressive and diffusion models to support flexible-length generation and achieve state-of-the-art performance among diffusion models.

Formal links

2 machine-checked theorem links

Cited by

39 papers in Pith

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First computed 2026-05-17T23:38:52.722376Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0ce7af1fbb9744774c42594aac69f2b8aaceb5070c5b144a53b2c43179d12287

Aliases

arxiv: 2503.09573 · arxiv_version: 2503.09573v3 · doi: 10.48550/arxiv.2503.09573 · pith_short_12: BTT26H53S5CH · pith_short_16: BTT26H53S5CHOTCC · pith_short_8: BTT26H53
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BTT26H53S5CHOTCCLFFKY2PSXC \
  | 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: 0ce7af1fbb9744774c42594aac69f2b8aaceb5070c5b144a53b2c43179d12287
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-03-12T17:43:40Z",
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