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Who cites Daniel Fu

568 citations of their works from 564 papers of our library (of the 140,884 whose bibliographies we read) · 21 with a page here, the most cited first · ← Daniel Fu

  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
  2. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  3. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
  4. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  5. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 350 citations
  6. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  7. KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationColeman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.2024 · 293 citations
  8. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  9. QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsSaleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.2024 · 252 citations
  10. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  11. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
  12. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsSuyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 198 citations
  13. LLM in a flash: Efficient Large Language Model Inference with Limited MemoryKeivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.2024 · 192 citations
  14. Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations
  15. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  16. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  17. EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 131 citations
  18. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  19. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  20. New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec ModelsJulia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.2026 · 7 citations
  21. In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationArthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation

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