🔗 Who cites «To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization»

1. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Haozhe Wang, Chao Qu, Zuming Huang, et al.2025 · 52 citations
2. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
3. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
4. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget ReallocationConference on Empirical Methods in Natural Language Processing (EMNLP)Feng Xiong, Hongling Xu, Yifei Wang, et al.2025 · 9 citations
5. Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing DatasetFindings of the Association for Computational LinguisticsBaode Wang, Biao Wu, Weizhen Li, et al.2026 · 4 citations

2 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/wang-2025-code-or-not-code-adaptive/cited-by/