2 code implementations • 12 Feb 2024 • Yifan Zhang, Yifan Luo, Yang Yuan, Andrew Chi-Chih Yao
To improve language models' proficiency in mathematical reasoning via continual pretraining, we introduce a novel strategy that leverages base language models for autonomous data selection.
1 code implementation • 17 Jan 2024 • Haoxiong Liu, Yifan Zhang, Yifan Luo, Andrew Chi-Chih Yao
The MMIQC dataset is available on the HuggingFace hub at https://huggingface. co/datasets/Vivacem/MMIQC.
Ranked #38 on Math Word Problem Solving on MATH (using extra training data)
1 code implementation • 20 Nov 2023 • Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
This paper presents a comprehensive study of Meta Prompting, an innovative technique reshaping the utilization of large language models (LLMs), multi-modal foundation models, and AI systems in problem-solving and data interaction.
1 code implementation • 8 Aug 2023 • Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew Chi-Chih Yao
In the context of the Game of 24, CR achieves an accuracy of 98%, which signifies a substantial enhancement of 24% over the previous state-of-the-art method.
Ranked #3 on Math Word Problem Solving on MATH
1 code implementation • 21 Jun 2021 • Jing Xu, Sen Wang, LiWei Wang, Andrew Chi-Chih Yao
Federated Learning is a distributed machine learning approach which enables model training without data sharing.