🧑‍🔬 Who cites Minghui Chen

110 citations of their works from 110 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Minghui Chen

1. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
2. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and RecipearXiv:2604.13016Yaxuan Li, Yuxin Zuo, Bingxiang He, et al.2026 · 58 citations
3. DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning ModelsarXiv:2503.04472Yi Shen, Jian Zhang, Jieyun Huang, et al.2025 · 57 citations
4. A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
5. Self-Distilled RLVRarXiv:2604.03128Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.2026 · 37 citations
6. AbstentionBench: Reasoning LLMs Fail on Unanswerable QuestionsConference on Neural Information Processing Systems (NeurIPS)Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, et al.2025 · 35 citations
7. Revisiting On-Policy Distillation: Empirical Failure Modes and Simple FixesarXiv:2603.25562Yuqian Fu, Haohuan Huang, Kaiwen Jiang, et al.2026 · 31 citations
8. DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning ModelsarXiv:2505.13975Yuxuan Jiang, Dawei Li, Francis Ferraro2025 · 21 citations
9. 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
10. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
11. 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
12. 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
13. Optimizing Length Compression in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiang Cheng, Dongping Chen, Mingyang Fu, et al.2026 · 11 citations
14. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
15. MUR: Momentum Uncertainty guided Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Fangzhi Xu, Rongman Xu, et al.2026 · 8 citations
16. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
17. Dissecting Failure Dynamics in Large Language Model ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhu, Jian Zhang, Lixing Yu, et al.2026 · 6 citations
18. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Wei, Liang Pang, Jiahao Liu, et al.2026 · 6 citations
19. Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective RecipearXiv:2605.03677Wenjin Hou, Shangpin Peng, Weinong Wang, et al.2026 · 6 citations
20. Self-Distilled Policy GradientarXiv:2606.04036Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.2026 · 5 citations
21. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
22. SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Huang, Xuefeng Bai, Kehai Chen, et al.2026 · 3 citations
23. Less is More: Improving LLM Reasoning with Minimal Test-Time InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Mingyang Zhang, Feng Chen, et al.2026 · 2 citations
24. 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
25. 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
26. LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Jingyuan Wang, Yankai Chen, Zhonghang Li, et al.2026 · 1 citation
27. 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
28. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
29. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
30. AdapThink: Adaptive Thinking Preferences for Reasoning Language ModelsFindings of the Association for Computational LinguisticsWenyue Xu, Xu Wan, Wei Wang, et al.2026
31. Budget-Aware Anytime Reasoning with LLM-Synthesized Preference DataFindings of the Association for Computational LinguisticsXuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, et al.2026
32. ETR: Entropy Trend Reward for Efficient Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan Xiong, Huan Liu, Li Gu, et al.2026
33. Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYufeng Shi, Weilin Luo, Yuxiang Zhang, et al.2026
34. 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
35. River-LLM: Large Language Model Seamless Exit Based on KV ShareAnnual Meeting of the Association for Computational Linguistics (ACL)Yingtao Shen, An Zou2026
36. SD-E2: Semantic Exploration for Reasoning Under Token BudgetsFindings of the Association for Computational LinguisticsKshitij Mishra, Nils Lukas, Salem Lahlou2026
37. Shorten After You're Right: Lazy Length Penalties for Reasoning RLFindings of the Association for Computational LinguisticsDanlong Yuan, Tian Xie, Shaohan Huang, et al.2026
38. Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Liu, Yanhao Wang, Min Zhang, et al.2026
39. Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time ComputeFindings of the Association for Computational LinguisticsHyewon Suh, Chaojian Li, Cheng-Jhih Shih, et al.2026
40. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.2026

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