🔗 Who cites «Zero-Shot Listwise Document Reranking with a Large Language Model»

84 papers of our library cite it (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← back to «Zero-Shot Listwise Document Reranking with a Large Language Model»

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
3. 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
4. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 322 citations
5. 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
6. 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
7. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
8. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
9. RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsarXiv:2309.15088Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin2023 · 81 citations
10. LitSearch: A Retrieval Benchmark for Scientific Literature SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.2024 · 39 citations
11. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
12. 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
13. LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Keheng Wang, Feiyu Duan, Peiguang Li, et al.2025 · 14 citations
14. DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
15. 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
16. FinCARDS: Card-Based Analyst Reranking for Financial Document Question AnsweringFindings of the Association for Computational LinguisticsYixi Zhou, Fan Zhang, YU Chen, et al.2026 · 8 citations
17. Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance JudgmentsFindings of the Association for Computational LinguisticsYifan Simon Liu, Qianfeng Wen, Jiazhou Liang, et al.2026 · 4 citations
18. Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tiancheng Xing, Jerry Li, Yixuan Du, et al.2026 · 2 citations
19. 5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness ControlInternational Workshop on Semantic Evaluation (SemEval)Thien-Qua T-Nguyen, Chi Hoang, Nguyen Tran, et al.2026 · 1 citation
20. Don't Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruwen Zhang, Bo Liu, Zhang Sheng Xiang, et al.2026 · 1 citation
21. ReAttn: Improving Attention-based Re-ranking via Attention Re-weightingFindings of the Association for Computational LinguisticsYuxing Tian, Fengran Mo, Weixu Zhang, et al.2026 · 1 citation
22. 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
23. 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

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