--- title: "Who cites Active Retrieval Augmented Generation — page 2" description: "410 papers of the Elamur Research library cite «Active Retrieval Augmented Generation», found in their bibliographies · page 2 of 2…" canonical: "https://research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/page/2/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Active Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/) / [cited by](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/) / page 2 # 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»](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/) [← prev](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/) **2** 101. **[Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-llm-based-search-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.*2026* 102. **[Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-tuning-vs-rag-multi/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.*2026* 103. **[Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-guaranteeing-knowledge-integration-joint-decoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.*2026* 104. **[Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/jotie-2026-improving-amharic-information-retrieval-translative/) [Resources for African Indigenous Languages (RAIL) @ LREC](https://md.research.elamur.ai/free/en/venues/rail/)**Abel Alemu Jotie, Prasenjit Mitra*2026* 105. **[Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-retrieval-augmented-generation-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gongbo Zhang, Yifan Peng, Chunhua Weng*2026* 106. **[IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yun-2026-itercomp-reasoning-aware-adaptive-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JungMin Yun, YoungBin Kim*2026* 107. **[LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks](https://md.research.elamur.ai/free/en/papers/wan-2026-lco-llm-based-constraint-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.*2026* 108. **[Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-learning-extract-rational-evidence-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinping Zhao, Shouzheng Huang, Yan Zhong, et al.*2026* 109. **[Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction](https://md.research.elamur.ai/free/en/papers/santra-2026-mask-correct-leveraging-retriever-diversity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.*2026* 110. **[MindFlayer at SemEval-2026 Task 8:DUALRAG:Answerability-Aware Generation for Multi-Turn RAG Conversations](https://md.research.elamur.ai/free/en/papers/tuli-2026-mindflayer-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jerin Romijah Tuli, Md. Sartaj Alam Pritom, Talukder Naemul Hasan Naem*2026* 111. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026* 112. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.*2026* 113. **[Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kyle A. McCleary, James M. Ghawaly*2026* 114. **[R^3AG: Retriever Routing for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-textasciicircum3ag-retriever-routing-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhao, Yutao Zhu, Yucheng Tian, et al.*2026* 115. **[REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors](https://md.research.elamur.ai/free/en/papers/zhang-2026-reap-effective-training-free-chemical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Zhang, Dazhong Shen, Qi Zhang, et al.*2026* 116. **[Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/man-2026-reasoning-memory-adaptive-information-management/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Man, Ro-ee Tal, Abhishek Kumar, et al.*2026* 117. **[Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-reflective-rag-self-evaluation-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyan Wu, Chenchen Wang, Chaoqun Sun, et al.*2026* 118. **[Reinforcing Agentic Search Via Reward Density Optimization](https://md.research.elamur.ai/free/en/papers/luo-2026-reinforcing-agentic-search-reward-density/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kun Luo, Hongjin Qian, Zheng Liu, et al.*2026* 119. **[Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-retrieval-augmented-generation-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lichang Song, Ting Long, Yi Chang*2026* 120. **[SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yuqing-2026-search-r-structured-entity-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**FU Yuqing, Yimin Deng, Wanyu Wang, et al.*2026* 121. **[The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-retrieval-bottleneck-scaling-laws-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shu Zhou, Jinman Leng, Yufei Song, et al.*2026* 122. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026* [← prev](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/cited-by/) **2** 288 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/) — Active Retrieval Augmented Generation