🧑‍🔬 Who cites Bahare Fatemi

126 citations of their works from 120 papers of our library (of the 149,439 whose bibliographies we read) · 37 with a page here, the most cited first · ← Bahare Fatemi

1. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
2. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringConference on Neural Information Processing Systems (NeurIPS)Xiaoxin He, Yijun Tian, Yifei Sun, et al.2024 · 236 citations
3. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
4. Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
5. General-Reasoner: Advancing LLM Reasoning Across All DomainsConference on Neural Information Processing Systems (NeurIPS)Xueguang Ma, Qian Liu, Dongfu Jiang, et al.2025 · 43 citations
6. LocAgent: Graph-Guided LLM Agents for Code LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoling Chen, Robert Tang, Gangda Deng, et al.2025 · 27 citations
7. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
8. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
9. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
10. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
11. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache CompressionarXiv:2609.19969DeepSeek-AI, Anyi Xu, B. Li, et al.2026 · 3 citations
12. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
13. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
14. SCALER: Synthetic Scalable Adaptive Learning Environment for ReasoningFindings of the Association for Computational LinguisticsCaijun Xu, Changyi Xiao, Zhongyuan Peng, et al.2026 · 2 citations
15. Agent-based Substructure Counting under Local Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL)Yuting Zhang, Kai Wang, Wei Ni, et al.2026 · 1 citation
16. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
17. NeCCo: Nepali Cultural Commonsense Benchmark for Large Language Model Evaluationworkshop on Challenges in Processing South Asian LanguagesSanket Shrestha, Raunak Regmi, Sadikshya Ghimire, et al.2026 · 1 citation
18. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
19. Asking language models how to represent data for fine-tuningWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraUsneek Singh, Ananya Singha, Abhijeet Awasthi, et al.2026
20. BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, et al.2026
21. Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from AggregationFindings of the Association for Computational LinguisticsFuyu Wang, Jiangtong Li, Kun Zhu, et al.2026
22. Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language ModelsFindings of the Association for Computational LinguisticsAngelo Zangari, Peyman Baghershahi, Sourav Medya2026
23. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
24. Generalization in Graph Reasoning: A Systematic Comparison of LLM Training ApproachesWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraSola Shirai, Kavitha Srinivas, Julian Dolby, et al.2026
25. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic LimitationsFindings of the Association for Computational LinguisticsHaitong Luo, Fali Wang, Weiyao Zhang, et al.2026
26. GROKE: Vision-Free Navigation Instruction Evaluation via Graph Reasoning on OpenStreetMapAnnual Meeting of the Association for Computational Linguistics (ACL)Farzad Shami, Subhrasankha Dey, Nico Van de Weghe, et al.2026
27. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
28. Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge GraphsKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Daniele Pasquini, Danilo Croce, Roberto Basili2026
29. mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningLanguage Resources and Evaluation Conference (LREC)Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
30. MuSe: Multi-Stage Graph Reasoning via Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guanyu Wang, Xu Chu, Zhijie Tan, et al.2026
31. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
32. PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable DataFindings of the Association for Computational LinguisticsKai Xiong, Yanwei Huang, Rongjunchen Zhang, et al.2026
33. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
34. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026
35. SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxiao Zhao, Yaqian Li, Zihao Bo, et al.2026
36. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026
37. UCS: Estimating Unseen Coverage for Improved In-Context LearningFindings of the Association for Computational LinguisticsJiayi Xin, Xiang Li, Evan Qiang, et al.2026

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