🧑‍🔬 Who cites Quan Shi

98 citations of their works from 93 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · ← Quan Shi

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 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. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligencearXiv:2406.11931DeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 196 citations
5. KernelBench: Can LLMs Write Efficient GPU Kernels?arXiv:2502.10517Anne Ouyang, Simon Guo, Simran Arora, et al.2025 · 178 citations
6. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
7. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
8. Making Text Embedders Few-Shot LearnersarXiv:2409.15700Chaofan Li, MingHao Qin, Shitao Xiao, et al.2024 · 60 citations
9. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
10. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
11. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
12. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
13. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
14. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsarXiv:2501.01257Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.2025 · 37 citations
15. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
16. 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
17. RaDeR: Reasoning-aware Dense Retrieval ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Debrup Das, Sam O'Nuallain, Razieh Rahimi2025 · 14 citations
18. Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxuan Li, Weiwen Xu, Ruochen Zhao, et al.2025 · 13 citations
19. 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
20. Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
21. MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsFindings of the Association for Computational LinguisticsZaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem2025 · 10 citations
22. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified DatasetConference on Neural Information Processing Systems (NeurIPS)Yifei Liu, Li Lyna Zhang, Yi Zhu, et al.2025 · 8 citations
23. ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)António Loison, Quentin Macé, Antoine Edy, et al.2026 · 7 citations
24. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations
25. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations
26. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
27. Scaling Laws for Code: A More Data-Hungry RegimeAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
28. DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dawei Zhu, Rui Meng, Jiefeng Chen, et al.2026 · 2 citations
29. Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current RetrieversFindings of the Association for Computational LinguisticsQingcheng Zeng, Yuheng Lu, Zeqi Zhou, et al.2026 · 1 citation
30. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
31. A Survey of Reasoning-Intensive Retrieval: Progress and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyang Wei, Tingyu Song, Siyue Zhang, et al.2026
32. GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMsFindings of the Association for Computational LinguisticsMeixiu Long, Duolin Sun, Dan Yang, et al.2026
33. Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense RetrievalFindings of the Association for Computational LinguisticsRuiran Yan, Wen Xiong, Ze Liu, et al.2026
34. Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhao, Jinbiao Wei, Tingyu Song, et al.2026

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