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Who cites Yixin Ye

335 citations of their works from 311 papers of our library (of the 149,439 whose bibliographies we read) · 119 with a page here, the most cited first · page 2 of 2 · 101–119 · ← Yixin Ye

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  1. Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher DecodingFindings of the Association for Computational LinguisticsTaewon Yun, Jisu Shin, Jeonghwan Choi, et al.2026
  2. 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
  3. 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
  4. GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
  5. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric PerspectiveFindings of the Association for Computational LinguisticsYining Qian, Jinpeng Li, Fei Mi, et al.2026
  6. 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
  7. Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration ScenariosFindings of the Association for Computational LinguisticsXin-Yu Xiao, Ye Tian, Erwei Yin, et al.2026
  8. On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Di Wu, Jiaxin Fan, Chloe Gu, et al.2026
  9. PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware MetacognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Xu, Fuzhen Yang, Liang Lin, et al.2026
  10. 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
  11. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  12. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  13. Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Lechen Zhang, Yunxiang Zhang, Wei Hu, et al.2026
  14. TARo: Token-level Adaptive Routing for LLM Test-time AlignmentFindings of the Association for Computational LinguisticsArushi Rai, Qiang Zhang, Hanqing Zeng, et al.2026
  15. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
  16. 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
  17. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsXiaoyang Liu, Dawei Wang, Tian Li, et al.2026
  18. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  19. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqing Yang, Qi Zhu, Zhen Han, et al.2026

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