🔗 Who cites «GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models»

1. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
2. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
3. Learning to Optimize Multi-Objective Alignment Through Dynamic Reward WeightingTransactions of the Association for Computational Linguistics (TACL)Yining Lu, Zilong Wang, Shiyang Li, et al.2026 · 4 citations
4. Beyond Outcome Verification: Verifiable Process Reward Models for Structured ReasoningFindings of the Association for Computational LinguisticsMassimiliano Pronesti, Anya Belz, Yufang Hou2026 · 2 citations
5. Controllable Spoken Dialogue Generation: An LLM-Driven Grading System for K-12 Non-Native English LearnersarXiv:2604.22542Haidong Yuan, Haokun Zhao, Wanshi Xu, et al.2026
6. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationLanguage Resources and Evaluation Conference (LREC)Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
7. FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted ReasonerAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wu, Hongru Sun, Wanqing Li, et al.2026
8. 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

12 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhang-2025-grpo-lead-difficulty-aware-reinforcement/cited-by/