🔗 Who cites «MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning»

1. Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented GenerationFindings of the Association for Computational LinguisticsYingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.2026 · 1 citation
2. Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Zhang, Runan Li, Honglin Pang, et al.2026 · 1 citation
3. 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
4. MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
5. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026
6. Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making ProblemFindings of the Association for Computational LinguisticsLichang Song, Ting Long, Yi Chang2026

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

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