---
title: "Who cites RetroLLM: Empowering Large — 11 citing papers"
description: "11 papers of the Elamur Research library cite «RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within…"
canonical: "https://research.elamur.ai/free/en/papers/li-2025-retrollm-empowering-large-language-models/cited-by/"
---
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# Who cites «RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation»](https://md.research.elamur.ai/free/en/papers/li-2025-retrollm-empowering-large-language-models/)

1. [**Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning arXiv:2503.09516**Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.*2025 · 322 citations*](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/)
2. **[Search-o1: Agentic Search-Enhanced Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.*2025 · 211 citations*
3. [**ZeroSearch: Incentivize the Search Capability of LLMs without Searching arXiv:2505.04588**Hao Sun, Zile Qiao, Jiayan Guo, et al.*2025 · 50 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-zerosearch-incentivize-search-capability-llms/)
4. **[Hierarchical Document Refinement for Long-context Retrieval-augmented Generation](https://md.research.elamur.ai/free/en/papers/jin-2025-hierarchical-document-refinement-long-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Jin, Xiaoxi Li, Guanting Dong, et al.*2025 · 25 citations*
5. **[RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/dong-2025-rag-critic-leveraging-automated-critic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.*2025 · 14 citations*
6. **[Progressive Multimodal Reasoning via Active Retrieval](https://md.research.elamur.ai/free/en/papers/dong-2025-progressive-multimodal-reasoning-active-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.*2025 · 10 citations*
7. **[Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval](https://md.research.elamur.ai/free/en/papers/polonuer-2026-autonomous-knowledge-graph-exploration-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joaquin Polonuer, Lucas Vittor, Iñaki Arango, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/li-2025-retrollm-empowering-large-language-models/) — RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation