🔗 Who cites «AdaptThink: Reasoning Models Can Learn When to Think»

39 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← back to «AdaptThink: Reasoning Models Can Learn When to Think»

1. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
2. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
3. 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
4. AttnPO: Attention-Guided Process Supervision for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaiyi Nie, Dingsiyu, Wenyuan Zhang, et al.2026 · 18 citations
5. 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
6. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
7. Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Wu, Zhenrong Zhang, Qikai Chang, et al.2026 · 11 citations
8. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
9. Revisiting Model Interpolation for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Taiqiang Wu, Runming Yang, Tao Liu, et al.2026 · 6 citations
10. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
11. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
12. Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Liyi Chen, Congxi Xiao, et al.2026 · 1 citation
13. Correct, Concise and Complete: Multi-stage Training For Adaptive ReasoningFindings of the Association for Computational LinguisticsNathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John, et al.2026 · 1 citation
14. NEAT: Neuron-Based Early Exit for Large Reasoning ModelsFindings of the Association for Computational LinguisticsKang Liu, YongKang Liu, Xiaocui Yang, et al.2026 · 1 citation
15. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable CodeFindings of the Association for Computational LinguisticsJian Xie, Zhendong Chu, Aoxiao Zhong, et al.2026
16. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
17. Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYufeng Shi, Weilin Luo, Yuxiang Zhang, et al.2026
18. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Heming Xia, Cunxiao Du, Rui Li, et al.2026
19. Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient ReasoningFindings of the Association for Computational LinguisticsYi Sui, Chaozhuo Li, Dawei Song2026

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