🧑‍🔬 Who cites Xiang Long

244 citations of their works from 244 papers of our library (of the 141,840 whose bibliographies we read) · 20 with a page here, the most cited first · ← Xiang Long

1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
2. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
3. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferenceBenjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 355 citations
4. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 351 citations
5. Kimi K2: Open Agentic IntelligenceKimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
6. MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
7. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
8. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
9. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
10. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
11. EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 131 citations
12. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsWenhao Shi, Zhiqiang Hu, Yi Bin, et al.2024 · 86 citations
13. How to Train Long-Context Language Models (Effectively)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 84 citations
14. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsSiming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
15. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAlejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 67 citations
16. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 26 citations
17. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
18. Jais 2: A Family of Arabic-Centric Open Large Language ModelsMohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
19. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
20. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningMathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026

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