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Who cites «Active Retrieval Augmented Generation»

410 papers of our library cite it (of the 149,439 whose bibliographies we read) · 122 with a page here, the most cited first · page 2 of 2 · 101–122 · ← back to «Active Retrieval Augmented Generation»

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  1. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.2026
  2. Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel KnowledgeWorkshop on Generation, Evaluation and Metrics (GEM)Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.2026
  3. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.2026
  4. Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented GenerationResources for African Indigenous Languages (RAIL) @ LRECAbel Alemu Jotie, Prasenjit Mitra2026
  5. Improving Retrieval-Augmented Generation without Taxonomy-based Error CategorizationAnnual Meeting of the Association for Computational Linguistics (ACL)Gongbo Zhang, Yifan Peng, Chunhua Weng2026
  6. IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)JungMin Yun, YoungBin Kim2026
  7. LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world TasksFindings of the Association for Computational LinguisticsJiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.2026
  8. Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXinping Zhao, Shouzheng Huang, Yan Zhong, et al.2026
  9. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
  10. MindFlayer at SemEval-2026 Task 8:DUALRAG:Answerability-Aware Generation for Multi-Turn RAG ConversationsInternational Workshop on Semantic Evaluation (SemEval)Jerin Romijah Tuli, Md. Sartaj Alam Pritom, Talukder Naemul Hasan Naem2026
  11. NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-NeuronsFindings of the Association for Computational LinguisticsLiwei Zheng, Xuemin Liu, Jie Liu2026
  12. Optimizing RAG Rerankers with LLM Feedback via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.2026
  13. Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM SearchLanguage Resources and Evaluation Conference (LREC)Kyle A. McCleary, James M. Ghawaly2026
  14. R^3AG: Retriever Routing for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhao, Yutao Zhu, Yucheng Tian, et al.2026
  15. REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic PriorsFindings of the Association for Computational LinguisticsMingxu Zhang, Dazhong Shen, Qi Zhang, et al.2026
  16. Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHieu Man, Ro-ee Tal, Abhishek Kumar, et al.2026
  17. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHaiyan Wu, Chenchen Wang, Chaoqun Sun, et al.2026
  18. Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026
  19. Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making ProblemFindings of the Association for Computational LinguisticsLichang Song, Ting Long, Yi Chang2026
  20. SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question AnsweringFindings of the Association for Computational LinguisticsFU Yuqing, Yimin Deng, Wanyu Wang, et al.2026
  21. The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Shu Zhou, Jinman Leng, Yufei Song, et al.2026
  22. Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sangkwon Park, Donghun Kang, Jisoo Mok, et al.2026

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