🔗 Who cites «ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding»

17 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 «ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding»

1. 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
2. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 141 citations
3. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
4. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
5. Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Tianle Xia, Ming Xu, Lingxiang Hu, et al.2026 · 2 citations
6. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
7. AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement LearningFindings of the Association for Computational LinguisticsJingbo Sun, Wenyue Chong, Songjun Tu, et al.2026
8. Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiucheng Xu, Bingbing Xu, Tian Xueyun, et al.2026

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

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