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Who cites Leon Maksin

1,529 citations of their works from 1,440 papers of our library (of the 149,439 whose bibliographies we read) · 431 with a page here, the most cited first · page 5 of 5 · 401–431 · ← Leon Maksin

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  1. 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
  2. Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQLAnnual Meeting of the Association for Computational Linguistics (ACL)Le Zhou, Feng Yao, Fengcai Qiao, et al.2026
  3. 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
  4. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
  5. 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
  6. SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Xichen Zhang, Ziyi He, Yinghao Zhu, et al.2026
  7. Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language ModelsLanguage Resources and Evaluation Conference (LREC)Makoto Takenaka, Hitomi Yanaka2026
  8. 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
  9. SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion ZonesFindings of the Association for Computational LinguisticsHengyu WU, Yang Cao2026
  10. Stabilizing Efficient Reasoning with Step-Level Advantage SelectionFindings of the Association for Computational LinguisticsHan Wang, Xiaodong Yu, Jialian Wu, et al.2026
  11. STCOR: A Trilevel Syllogism-Driven Reasoning FrameworkWorkshop on Argument MiningKeying Yang, Hao Wang, Chengtao Jian, et al.2026
  12. TabGuard: Agentic LLM Orchestration for Adaptive Tabular Anomaly Detection via Dynamic Validator Selection and GenerationWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraSrihari Unnikrishnan, Minghua Ma2026
  13. Table-R1: Region-based Reinforcement Learning for Table UnderstandingFindings of the Association for Computational LinguisticsZhenhe Wu, Jian Yang, Zhongjiang He, et al.2026
  14. 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
  15. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026
  16. Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature ModulationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, et al.2026
  17. 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
  18. 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
  19. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
  20. Towards Inference-time Scaling for Continuous Space ReasoningFindings of the Association for Computational LinguisticsMinghan Wang, Thuy-Trang Vu, Ehsan Shareghi, et al.2026
  21. 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
  22. U-Fold: Dynamic Intent-Aware Context Folding for User-Centric AgentsFindings of the Association for Computational LinguisticsJin Su, Runnan Fang, Yeqiu Li, et al.2026
  23. 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
  24. 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
  25. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026
  26. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  27. 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
  28. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026
  29. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Shi, Zhuowen Han, Simon Ostermann, et al.2026
  30. ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.2026
  31. QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional MethodsInternational Workshop on Semantic Evaluation (SemEval)Mariia Bogatyreva, Pascal Gaertner, Quim Ribas, et al.2025

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