🔗 Who cites «LightThinker: Thinking Step-by-Step Compression»

45 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «LightThinker: Thinking Step-by-Step Compression»

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
3. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
4. Efficient Reasoning Models: A SurveyarXiv:2504.10903Sicheng Feng, Gongfan Fang, Xinyin Ma, et al.2025 · 37 citations
5. InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language ModelsarXiv:2503.06692Yuchen Yan, Yongliang Shen, Yang Liu, et al.2025 · 29 citations
6. ConCISE: Confidence-guided Compression in Step-by-step Efficient ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.2025 · 19 citations
7. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
8. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
9. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
10. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
11. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
12. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
13. LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyue Zhang, Hualei Zhang, Xiaosong Ma, et al.2026 · 8 citations
14. Efficient Reasoning for LLMs through Speculative Chain-of-ThoughtFindings of the Association for Computational LinguisticsJikai Wang, Juntao Li, Jianye Hou, et al.2026 · 6 citations
15. Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level TriggersFindings of the Association for Computational LinguisticsVan Yang, Shouren Wang, Debargha Ganguly, et al.2026 · 1 citation
16. Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanbing Liu, Lang Cao, Yuanyi Ren, et al.2026 · 1 citation
17. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Shiyu Li, Peiming Li, et al.2026 · 1 citation
18. Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-ThoughtFindings of the Association for Computational LinguisticsHan Liu, Shuotian Ma, Hui Li, et al.2026

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