🔗 Who cites «FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling»

1. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
2. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
3. Speculative Decoding with a Speculative VocabularyFindings of the Association for Computational LinguisticsMiles Williams, Young D. Kwon, Rui Li, et al.2026 · 2 citations
4. T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and PlaygroundConference of the European Chapter of the Association for Computational Linguistics (EACL)Dmitrii Stoianov, Danil Taranets, Olga Tsymboi, et al.2026 · 2 citations
5. HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Zhang, Siming Chen, Hao Ye, et al.2026
6. TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model PairsAnnual Meeting of the Association for Computational Linguistics (ACL)Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.2026

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

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