🧑‍🔬 Who cites Daixuan Cheng

126 citations of their works from 125 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Daixuan Cheng

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. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
3. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
4. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
5. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
6. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
7. Time-MQA: Time Series Multi-Task Question Answering with Context EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.2025 · 21 citations
8. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
9. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
10. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
11. 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
12. Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yeyong Yu, Runsheng Yu, Haojie Wei, et al.2025 · 10 citations
13. CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.2026 · 7 citations
14. MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoliang Fu, Jiaye Lin, Yangyi Fang, et al.2026 · 7 citations
15. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
16. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
17. Incentivizing In-depth Reasoning over Long Contexts with Process Advantage ShapingFindings of the Association for Computational LinguisticsMiao Peng, Weizhou Shen, Nuo Chen, et al.2026 · 3 citations
18. MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical SkillsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.2026 · 3 citations
19. Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.2026 · 2 citations
20. Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
21. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
22. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement LearningFindings of the Association for Computational LinguisticsZhenpeng Su, Leiyu Pan, Minxuan Lv, et al.2026 · 1 citation
23. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Yanguang Liu, Huopu Zhang, et al.2026 · 1 citation
24. On the Step Length Confounding in LLM Reasoning Data SelectionFindings of the Association for Computational LinguisticsBing Wang, Rui Miao, Chen Shen, et al.2026 · 1 citation
25. Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Xin Zhao, Naoki Yoshinaga, Yuma Tsuta, et al.2026 · 1 citation
26. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
27. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
28. Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
29. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
30. Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and BottlenecksConference of the European Chapter of the Association for Computational Linguistics (EACL)Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.2026
31. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
32. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
33. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
34. Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLanguage Resources and Evaluation Conference (LREC)Kentaro Ueda, François Portet, Hirohiko Suwa, et al.2026
35. PropGenie: A Multi-Agent Conversational Framework for Real Estate AssistanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Chang Shen, Shaozu Yuan, Kuizong Wu, et al.2026
36. RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijie Tan, Xu Chu, Guanyu Wang, et al.2026
37. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
38. Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement LearningFindings of the Association for Computational LinguisticsXiaoyun Zhang, Xiaojian Yuan, Di Huang, et al.2026
39. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
40. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026

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