Distilling Instruction-following Abilities of Large Language Models with
Task-aware Curriculum Planning

Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning

22 May 2024

Chengyu Wang

Papers citing "Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning"

6 / 6 papers shown

Title
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning Wei Liu Weihao Zeng Keqing He Yong Jiang Junxian He ALM 88 235 0 25 Dec 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity Cunxiang Wang Xiaoze Liu Yuanhao Yue Xiangru Tang Tianhang Zhang ... Linyi Yang Jindong Wang Xing Xie Zheng Zhang Yue Zhang HILM KELM 84 197 0 11 Oct 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 308 4,253 0 09 Jun 2023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback Yann Dubois Xuechen Li Rohan Taori Tianyi Zhang Ishaan Gulrajani Jimmy Ba Carlos Guestrin Percy Liang Tatsunori B. Hashimoto ALM 108 590 0 22 May 2023
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 104 3,723 0 03 Sep 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 118 742 0 18 Apr 2021