--- title: "Who cites Junnan Dong — 50 papers of our library" description: "50 papers of the Elamur Research library cite the works of Junnan Dong, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/junnan-dong/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junnan-dong/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Junnan Dong](https://md.research.elamur.ai/free/en/authors/junnan-dong/) / cited by # Who cites Junnan Dong 50 citations of their works from 50 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Junnan Dong](https://md.research.elamur.ai/free/en/authors/junnan-dong/) 1. **[FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhang-2025-faithfulrag-fact-level-conflict-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qinggang Zhang, Zhishang Xiang, Yilin Xiao, et al.*2025 · 27 citations* 2. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Guo, Harry Shomer, Shenglai Zeng, et al.*2025 · 12 citations* 3. **[MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2025-molorag-bootstrapping-document-understanding-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xixi Wu, Yanchao Tan, Nan Hou, et al.*2025 · 12 citations* 4. **[Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation](https://md.research.elamur.ai/free/en/papers/zhou-2025-taming-language-models-text-attributed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Zhu Wang, Shengyuan Chen, et al.*2025 · 9 citations* 5. **[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* 6. **[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* 7. **[H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents](https://md.research.elamur.ai/free/en/papers/ye-2026-h-mem-hybrid-multi-dimensional/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zihe Ye, Jingyuan Huang, Weixin Chen, et al.*2026 · 1 citation* 8. **[LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-logicpoison-logical-attacks-graph-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilin Xiao, Jin Chen, Qinggang Zhang, et al.*2026 · 1 citation* 9. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation* 10. **[AED-RAG: Continuous Multi-Granular Context Fusion for Retrieval-Augmented Generation via Adaptive Ensemble Decoding](https://md.research.elamur.ai/free/en/papers/zhou-2026-aed-rag-continuous-multi-granular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junzhe Zhou, Fulin Lin, Tairan Cheng, et al.*2026* 11. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JinWei Shi, Qizhuo Xie, Qianzi Hou, et al.*2026* 12. **[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* 13. **[Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction](https://md.research.elamur.ai/free/en/papers/pinto-2026-evaluating-generative-large-language-models/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026* 14. **[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* 15. **[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* 16. **[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* 34 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/junnan-dong/) — Junnan Dong