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Who cites Xiaochen Zuo

719 citations of their works from 654 papers of our library (of the 149,439 whose bibliographies we read) · 233 with a page here, the most cited first · page 3 of 3 · 201–233 · ← Xiaochen Zuo

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  1. N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy OptimizationFindings of the Association for Computational LinguisticsXukun Zhu, Hang Yu, Peng Di, et al.2026
  2. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
  3. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026
  4. Plug-and-Play Data Module for Code RL: Adaptive Ambiguity ReplayFindings of the Association for Computational LinguisticsJianqing Zhang, Wei Xia, Zhezheng Hao, et al.2026
  5. Policy-Guided Stepwise Action Planning for Controllable LLM ReasoningFindings of the Association for Computational LinguisticsJianpeng Zhou, Qisheng Hu, Jiahai Wang, et al.2026
  6. Preference Optimization for Review Question Generation Improves Writing QualityFindings of the Association for Computational LinguisticsKarun Sharma, Vidushee Vats, Shengzhi LI, et al.2026
  7. 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
  8. Reasoning-Aware AIGC Detection via Alignment and ReinforcementFindings of the Association for Computational LinguisticsZhao Wang, Max Xiong, Jianxun Lian, et al.2026
  9. Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language ModelsFindings of the Association for Computational LinguisticsMengdie Flora Wang, Haochen Xie, Mun Young Kim, et al.2026
  10. RepoDistill: Distilling Repository Knowledge through Compression-Aware Budget Allocation and Policy OptimizationFindings of the Association for Computational LinguisticsXin Yin, Zixiang Ding, Yiang Zhang, et al.2026
  11. 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
  12. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  13. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
  14. R³: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)YiFei Wang, Qizhi Pei, Jiangtao Feng, et al.2026
  15. ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
  16. 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
  17. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationFindings of the Association for Computational LinguisticsPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
  18. STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Qiuyi Qi, Tian Liang, Mutian Bao, et al.2026
  19. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
  20. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
  21. TARo: Token-level Adaptive Routing for LLM Test-time AlignmentFindings of the Association for Computational LinguisticsArushi Rai, Qiang Zhang, Hanqing Zeng, et al.2026
  22. Teaching Language Models to Forecast Research Success Through Comparative Idea EvaluationFindings of the Association for Computational LinguisticsSrujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan2026
  23. The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Shu Zhou, Jinman Leng, Yufei Song, et al.2026
  24. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
  25. Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Yongshi Ye, Biao Fu, Chongxuan Huang, et al.2026
  26. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026
  27. 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
  28. V-RoLoRA: RLVR-Driven MoE Routing for Steerable Pluralistic AlignmentFindings of the Association for Computational LinguisticsJing Wang, Yaomin Wu, Yinglin Wang, et al.2026
  29. Verifier-Free RL for LLMs via Intrinsic Gradient-Norm RewardFindings of the Association for Computational LinguisticsXuexiang Wen, Hang Yu, Linchao Zhu, et al.2026
  30. When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.2026
  31. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026
  32. WildSci: Advancing Scientific Reasoning from In-the-Wild LiteratureFindings of the Association for Computational LinguisticsTengxiao Liu, Deepak Nathani, Zekun Li, et al.2026
  33. Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and EvaluationFindings of the Association for Computational LinguisticsKelvin Han, Claire Gardent2025

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