🔗 Who cites «Fine-Tuning Language Models with Just Forward Passes»

87 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Fine-Tuning Language Models with Just Forward Passes»

1. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
2. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
3. Full Parameter Fine-tuning for Large Language Models with Limited ResourcesAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Lv, Yuqing Yang, Tengxiao Liu, et al.2024 · 143 citations
4. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
5. RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zichen Song, Weijia Li2026 · 1 citation
6. High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel ComputingFindings of the Association for Computational LinguisticsLiangyu Wang, Huanyi Xie, Di Wang2026
7. Memory-Efficient Structured Backpropagation for On-Device LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)JuneYoung Park, Yuri Hong, Seongwan Kim, et al.2026
8. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data GenerationFindings of the Association for Computational LinguisticsQian Ma, Sarah Rajtmajer2026
9. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise SamplingFindings of the Association for Computational LinguisticsFei Wang, Li Shen, Liang Ding, et al.2026

78 more papers of our library cite it; they have no page here yet.

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