🔗 Who cites «Attention Sinks in Diffusion Language Models»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «Attention Sinks in Diffusion Language Models»

1. Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context FocusingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingkun Long, Yushi Huang, Shihao Bai, et al.2026 · 2 citations
2. One Token Is Enough: Improving Diffusion Language Models with a Sink TokenFindings of the Association for Computational LinguisticsZihou Zhang, Zheyong Xie, Li Zhong, et al.2026 · 2 citations
3. Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuval Ran-Milo2026 · 1 citation

2 more papers of our library cite it; they have no page here yet.

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