🔗 Who cites «Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling»

1. LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token SpeculationFindings of the Association for Computational LinguisticsTianyu Liu, Qitan Lv, Hao Li, et al.2026 · 6 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. LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Penghui Yang, Cunxiao Du, Fengzhuo Zhang, et al.2026 · 5 citations
4. RACER: Retrieval-Augmented Contextual Rapid Speculative DecodingFindings of the Association for Computational LinguisticsZihong Zhang, Zuchao Li, Lefei Zhang, et al.2026 · 1 citation
5. MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token PredictionFindings of the Association for Computational LinguisticsKe Wang, Aohan Zeng, Zhengxiao Du, et al.2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/luo-2025-turning-trash-into-treasure-accelerating/cited-by/