Search Results for author: Andrew Chi-Chih Yao

Found 5 papers, 5 papers with code

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts

2 code implementations12 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.

Continual Pretraining Language Modelling +2

Augmenting Math Word Problems via Iterative Question Composing

1 code implementation17 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)

Math Math Word Problem Solving

Meta Prompting for AGI Systems

1 code implementation20 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.

Data Interaction

Cumulative Reasoning with Large Language Models

1 code implementation8 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.

Decision Making Math +1

FedCM: Federated Learning with Client-level Momentum

1 code implementation21 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.

Federated Learning

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