🧑‍🔬 Who cites Sahel Sharifymoghaddam

70 citations of their works from 70 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Sahel Sharifymoghaddam

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
3. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 322 citations
4. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingFindings of the Association for Computational LinguisticsZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 300 citations
5. Fine-Tuning LLaMA for Multi-Stage Text RetrievalInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Xueguang Ma, Liang Wang, Nan Yang, et al.2023 · 257 citations
6. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
7. ReasonRank: Empowering Passage Ranking with Strong Reasoning AbilityAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhan Liu, Xinyu Ma, Weiwei Sun, et al.2026 · 18 citations
8. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
9. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
10. REARANK: Reasoning Re-ranking Agent via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Le Zhang, Bo Wang, Xipeng Qiu, et al.2025 · 12 citations
11. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
12. Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability CalibrationAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Lv, Hongchao Gu, Ruiqing Yang, et al.2026
13. Test-Time Training for Zero-Resource Dense Retrieval RerankingWorkshop on Towards Knowledgeable Foundation ModelsShiyan Liu, Yichen Li2026
14. Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sangkwon Park, Donghun Kang, Jisoo Mok, et al.2026
15. Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and EvaluationFindings of the Association for Computational LinguisticsKelvin Han, Claire Gardent2025

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