Search Results for author: Jie Yao

Found 6 papers, 2 papers with code

Geometry Enhanced Optimal Control Technique for Acrobatic Flip Motion of Quadcopter

no code implementations12 Sep 2023 Jie Yao

A nonlinear optimal control strategy, named the geometry enhanced finite time $\boldsymbol{\theta-}$D technique, is proposed to manipulate the acrobatic flip flight of variable pitch (VP) quadcopter unmanned aerial vehicles (abbreviated as VP copter).

Computational Efficiency

MathAttack: Attacking Large Language Models Towards Math Solving Ability

no code implementations4 Sep 2023 ZiHao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang

Instead of attacking prompts in the use of LLMs, we propose a MathAttack model to attack MWP samples which are closer to the essence of security in solving math problems.

Adversarial Attack GSM8K +1

Solving Math Word Problem with Problem Type Classification

1 code implementation26 Aug 2023 Jie Yao, ZiHao Zhou, Qiufeng Wang

Firstly, We propose a problem type classifier that combines the strengths of the tree-based solver and the LLM solver.

Answer Selection Classification +4

PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts

no code implementations20 Jul 2023 Kaiwen Wei, Jie Yao, Jingyuan Zhang, Yangyang Kang, Fubang Zhao, Yating Zhang, Changlong Sun, Xin Jin, Xin Zhang

Firstly, the layout of existing datasets is relatively fixed and limited in the number of semantic entity categories, creating a significant gap between these datasets and the complex real-world scenarios.

Key Information Extraction

Learning by Analogy: Diverse Questions Generation in Math Word Problem

1 code implementation15 Jun 2023 ZiHao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang, Kaizhu Huang

We then feed them to a question generator together with the scenario to obtain the corresponding diverse questions, forming a new MWP with a variety of questions and equations.

Math

Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

no code implementations16 Nov 2022 Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang

In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms.

MULTI-VIEW LEARNING

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