Scaling Data Diversity for Fine-Tuning Language Models in Human
Alignment

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment

17 March 2024

Feifan Song

Bowen Yu

Houfeng Wang

Papers citing "Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment"

6 / 6 papers shown

Title
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Sizhe Wang Yongqi Tong Hengyuan Zhang Dawei Li Xin Zhang Tianlong Chen 85 5 0 21 Feb 2025
Measuring Diversity in Synthetic Datasets Yuchang Zhu Huizhe Zhang Bingzhe Wu Jintang Li Zibin Zheng Peilin Zhao Liang Chen Yatao Bian 100 0 0 12 Feb 2025
TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo Lu Yin Bo Jiang Jiaqi Zhang 33 1 0 02 Nov 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,248 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 240 4,469 0 23 Jan 2020