Who cites «Learning to Reason under Off-Policy Guidance»
- 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
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
- 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
- Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tingchen Fu, Yafu Li, Jiawei Gu, et al.2026 · 12 citations
- Lost in Literalism: How Supervised Training Shapes Translationese in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Ronghao Zhang, Zhilin Wang, et al.2025 · 12 citations
- ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
- RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
- Do Not Step Into the Same River Twice: Learning to Reason from Trial and ErrorAnnual Meeting of the Association for Computational Linguistics (ACL)Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, et al.2026 · 3 citations
- Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuyao Xu, Cheng Peng, Jiangxuan Long, et al.2026 · 3 citations
- Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
- No More Stale Feedback: Co-Evolving Critics for Open-World Agent LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhicong Li, Lingjie Jiang, Yulan Hu, et al.2026 · 3 citations
- From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy AssimilationAnnual Meeting of the Association for Computational Linguistics (ACL)Zezhou Wang, Ziyun Zhang, Xiaoyi Zhang, et al.2026 · 1 citation
- Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsFindings of the Association for Computational LinguisticsXinyi Wang, Jinyi Han, Zishang Jiang, et al.2026
- Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYufeng Shi, Weilin Luo, Yuxiang Zhang, et al.2026
- FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
- Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data GenerationWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraMarko Sterbentz, Michael Glass, Nhan H Pham, et al.2026
- Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026
- 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
- Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
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