--- title: "Who cites Embedding-Informed Adaptive — 5 citing papers" description: "5 papers of the Elamur Research library cite «Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models»…" canonical: "https://research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Embedding-Informed Adaptive Retrieval-Augmented…](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) / cited by # Who cites «Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models» 5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models»](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) 1. [**Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning arXiv:2410.14211**Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.*2024 · 80 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-paths-over-graph-knowledge-graph/) 2. **[MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2026-memweaver-weaving-hybrid-memories-traceable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juexiang Ye, Xue Li, Yang Xinyu, et al.*2026* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) — Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models