---
title: "Who cites Lianghao Xia — 186 papers of our library"
description: "186 papers of the Elamur Research library cite the works of Lianghao Xia, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/lianghao-xia/cited-by/"
---
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# Who cites Lianghao Xia

188 citations of their works from 186 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · [← Lianghao Xia](https://md.research.elamur.ai/free/en/authors/lianghao-xia/)

1. [**From RAG to Memory: Non-Parametric Continual Learning for Large Language Models arXiv:2502.14802**Bernal Jimenez Gutierrez, Yiheng Shu, Weijian Qi, et al.*2025 · 90 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2025-rag-memory-non-parametric-continual/)
2. [**Retrieval-Augmented Generation with Graphs (GraphRAG) arXiv:2501.00309**Haoyu Han, Yu Wang, Harry Shomer, et al.*2025 · 87 citations*](https://md.research.elamur.ai/free/en/papers/han-2025-retrieval-augmented-generation-graphs-graphrag/)
3. [**Zep: A Temporal Knowledge Graph Architecture for Agent Memory arXiv:2501.13956**Preston Rasmussen, Pavlo Paliychuk, Travis Beauvais, et al.*2025 · 60 citations*](https://md.research.elamur.ai/free/en/papers/rasmussen-2025-zep-temporal-knowledge-graph-architecture/)
4. [**Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs arXiv:2507.09477**Yangning Li, Weizhi Zhang, Yuyao Yang, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)
5. **[AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents](https://md.research.elamur.ai/free/en/papers/tang-2026-autoagent-fully-automated-zero-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiabin Tang, Tianyu Fan, Chao Huang*2026 · 13 citations*
6. [**EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery arXiv:2603.08127**Yougang Lyu, Xi Zhang, Xinhao Yi, et al.*2026 · 10 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2026-evoscientist-towards-multi-agent-evolving/)
7. [**You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures arXiv:2508.06105**Shengyuan Chen, Chuang Zhou, Zheng Yuan, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-don-t-need-pre-built/)
8. **[ReCreate: Reasoning and Creating Domain Agents Driven by Experience](https://md.research.elamur.ai/free/en/papers/hao-2026-recreate-reasoning-creating-domain-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhezheng Hao, Hong Wang, Jian Luo, et al.*2026 · 8 citations*
9. **[GAM: Hierarchical Graph-based Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.*2026 · 5 citations*
10. **[AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/tsang-2026-autograph-r1-end-end-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.*2026 · 4 citations*
11. **[Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-query-efficient-agentic-graph-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuhua Yang, Jiahao Zhang, Yilong Wang, et al.*2026 · 4 citations*
12. **[ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning](https://md.research.elamur.ai/free/en/papers/zhou-2026-ark-answer-centric-retriever-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Zhou, Hang Ding, Haiyun Jiang*2026 · 3 citations*
13. **[STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ni-2026-streasoner-empowering-llms-spatio-temporal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juntong Ni, Shiyu Wang, Qi He, et al.*2026 · 3 citations*
14. **[Agentic Very Long Video Understanding](https://md.research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aniket Rege, Arka Sadhu, Yuliang Li, et al.*2026 · 1 citation*
15. **[AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists](https://md.research.elamur.ai/free/en/papers/pan-2026-airaxiv-ai-driven-open-access/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junshu Pan, Panzhong Lu, Yixuan Weng, et al.*2026 · 1 citation*
16. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
17. **[Is This Idea Novel? An Automated Benchmark for Judgment of Research Ideas](https://md.research.elamur.ai/free/en/papers/schopf-2026-is-this-idea-novel-automated/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tim Schopf, Michael Färber*2026 · 1 citation*
18. **[TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/tao-2026-tagrag-tag-guided-hierarchical-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenbiao Tao, Xinyuan Li, Yunshi Lan, et al.*2026 · 1 citation*
19. **[Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model](https://md.research.elamur.ai/free/en/papers/wang-2026-adaptive-representative-multi-interest-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyan Wang, Yingpeng Du, Tianjun Wei, et al.*2026*
20. **[Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/zhou-2026-amory-building-coherent-narrative-driven/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yue Zhou, Xiaobo Guo, Belhassen Bayar, et al.*2026*
21. **[AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models](https://md.research.elamur.ai/free/en/papers/shen-2026-anchormem-anchored-facts-associative-contexts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhanyu Shen, Sijie Cheng, Zhicheng Guo, et al.*2026*
22. **[Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark](https://md.research.elamur.ai/free/en/papers/luo-2026-can-ai-revise-research-papers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Luo, Hong Huang, Jianxun Lian, et al.*2026*
23. **[Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents](https://md.research.elamur.ai/free/en/papers/xu-2026-chain-memory-lightweight-memory-construction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiucheng Xu, Bingbing Xu, Tian Xueyun, et al.*2026*
24. **[Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-collision-cognition-hash-driven-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Zheng Yuan, Linhao Luo, et al.*2026*
25. **[Defense Against Knowledge Poisoning Attack on GraphRAG](https://md.research.elamur.ai/free/en/papers/noughabi-2026-defense-against-knowledge-poisoning-attack/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Havva Alizadeh Noughabi, Fattane Zarrinkalam, Ali Dehghantanha*2026*
26. **[Fin-STAR: Structure-as-Semantics to Resolve Implicitness in Financial Retrieval](https://md.research.elamur.ai/free/en/papers/zou-2026-fin-star-structure-as-semantics/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu Zou, Yan Chen, Lida He, et al.*2026*
27. **[FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow](https://md.research.elamur.ai/free/en/papers/zhan-2026-flowrag-synergizing-explicit-reasoning-frequency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bihao Zhan, Zongsheng Cao, Jie Zhou, et al.*2026*
28. **[GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL](https://md.research.elamur.ai/free/en/papers/su-2026-gqlbench-large-scale-cross-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanning Su, Yuhang Zhou, Yang Fang, et al.*2026*
29. **[Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations](https://md.research.elamur.ai/free/en/papers/luo-2026-graph-assisted-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haitong Luo, Fali Wang, Weiyao Zhang, et al.*2026*
30. **[GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-groundedkg-rag-grounded-knowledge-graph/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Tianyi Zhang, Andreas Marfurt*2026*
31. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026*
32. **[HyperMem: Hypergraph Memory for Long-Term Conversations](https://md.research.elamur.ai/free/en/papers/yue-2026-hypermem-hypergraph-memory-long-term/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juwei Yue, Chuanrui Hu, Jiawei Sheng, et al.*2026*
33. **[Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-large-scale-multimodal-knowledge-graph/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuo Wang, Qing Zhu, Yang Xiao, et al.*2026*
34. **[MemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents](https://md.research.elamur.ai/free/en/papers/van-2026-memorai-memory-organization-retrieval-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, et al.*2026*
35. **[Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/tao-2026-momoka-rag-mcts-organized-mapping/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenyu Tao, Xiaofen Xing, Zeliang Li, et al.*2026*
36. **[MuSe: Multi-Stage Graph Reasoning via Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-muse-multi-stage-graph-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanyu Wang, Xu Chu, Zhijie Tan, et al.*2026*
37. **[Query-Aware Knowledge Retrieval via Hyperbolic Structuring](https://md.research.elamur.ai/free/en/papers/zhou-2026-query-aware-knowledge-retrieval-hyperbolic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Junnan Dong, Yilin Xiao, et al.*2026*
38. **[Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization](https://md.research.elamur.ai/free/en/papers/tang-2026-route-rome-attack-directing-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haochun Tang, Yuliang Yan, Jiahua Lu, et al.*2026*
39. **[Similar Region Search using LLMs on Spatial Feature Space](https://md.research.elamur.ai/free/en/papers/sany-2026-similar-region-search-llms-spatial/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Al-Amin Sany, Mohaiminul Islam, Tanzima Hashem, et al.*2026*
40. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehua Wang, Zhaojin Zhang, Boyu Qiu, et al.*2026*
41. **[Structure Guided Retrieval-Augmented Generation for Factual Queries](https://md.research.elamur.ai/free/en/papers/xie-2026-structure-guided-retrieval-augmented-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miao Xie, Xiao Zhang, Yi Li, et al.*2026*
42. **[Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues](https://md.research.elamur.ai/free/en/papers/wu-2026-structured-dialogue-refinement-building-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Wu, Sawan Kumar, Prasetya Ajie Utama, et al.*2026*
43. **[TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search](https://md.research.elamur.ai/free/en/papers/wu-2026-toporag-graph-based-rag-topology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianhao Wu, Siqiang Luo*2026*
44. **[What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations](https://md.research.elamur.ai/free/en/papers/luo-2026-what-makes-ai-research-replicable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.*2026*
45. **[Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*

141 more citing papers of our library have no page here yet.

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