🧑‍🔬 Who cites Yutao Sun

173 citations of their works from 172 papers of our library (of the 141,840 whose bibliographies we read) · 29 with a page here, the most cited first · ← Yutao Sun

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
2. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,399 citations
3. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
4. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 506 citations
5. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 386 citations
6. Language Is Not All You Need: Aligning Perception with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 322 citations
7. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 304 citations
8. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
9. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
10. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
11. Language Models can Solve Computer TasksConference on Neural Information Processing Systems (NeurIPS)Geunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
12. Effective Long-Context Scaling of Foundation ModelsarXiv:2309.16039Wenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 177 citations
13. L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsarXiv:2307.11088Chenxin An, Shansan Gong, Ming Zhong, et al.2023 · 160 citations
14. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
15. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Lean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
16. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
17. In-Context Learning Creates Task VectorsFindings of the Association for Computational LinguisticsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
18. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 130 citations
19. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
20. Learning to Retrieve In-Context Examples for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Liang Wang, Nan Yang, Furu Wei2024 · 103 citations
21. LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chi Han, Qifan Wang, Hao Peng, et al.2024 · 95 citations
22. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesConference on Neural Information Processing Systems (NeurIPS)Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 82 citations
23. LLM Maybe LongLM: Self-Extend LLM Context Window Without TuningarXiv:2401.01325Hongye Jin, Xiaotian Han, Jingfeng Yang, et al.2024 · 78 citations
24. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAConference on Empirical Methods in Natural Language Processing (EMNLP)Minzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 71 citations
25. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
26. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
27. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
28. Scaling Laws of RoPE-based ExtrapolationarXiv:2310.05209Xiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 53 citations
29. Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksInternational Workshop on Construction Grammars and NLPHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation

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