🔗 Who cites «Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning»

67 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning»

1. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
2. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsarXiv:2304.05302Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
   How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
3. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations
4. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026

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

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