Search Results for author: Zheng Gong

Found 15 papers, 11 papers with code

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network

1 code implementation ACL 2022 Zheng Gong, Kun Zhou, Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen

In this paper, we study how to continually pre-train language models for improving the understanding of math problems.

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models

1 code implementation23 May 2023 Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen

To improve the reasoning abilities, we propose \textbf{ChatCoT}, a tool-augmented chain-of-thought reasoning framework for chat-based LLMs.

OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

1 code implementation27 Feb 2023 Ruihang Miao, Weizhou Liu, Mingrui Chen, Zheng Gong, Weixin Xu, Chen Hu, Shuchang Zhou

3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene representations, which can be applied in the field of autonomous driving and robotic systems.

3D Semantic Scene Completion Autonomous Driving +1

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training

1 code implementation18 Jan 2023 Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang

To this end, in this paper, we propose a novel contrastive pre-training approach for mathematical question representations, namely QuesCo, which attempts to bring questions with more similar purposes closer.

Contrastive Learning

A new encoding of implied volatility surfaces for their synthetic generation

no code implementations23 Nov 2022 Zheng Gong, Wojciech Frys, Renzo Tiranti, Carmine Ventre, John O'Hara, Yingbo Bai

In financial terms, an implied volatility surface can be described by its term structure, its skewness and its overall volatility level.


Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation

1 code implementation1 Sep 2022 Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun

We introduce an explorative active learning (AL) algorithm based on Gaussian process regression and marginalized graph kernel (GPR-MGK) to explore chemical space with minimum cost.

Active Learning GPR

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

1 code implementation13 Jun 2022 Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen

Considering the complex nature of mathematical texts, we design a novel curriculum pre-training approach for improving the learning of mathematical PLMs, consisting of both basic and advanced courses.

Language Modelling

WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models

no code implementations22 Mar 2022 Sha Yuan, Shuai Zhao, Jiahong Leng, Zhao Xue, Hanyu Zhao, Peiyu Liu, Zheng Gong, Wayne Xin Zhao, Junyi Li, Jie Tang

The results show that WuDaoMM can be applied as an efficient dataset for VLPMs, especially for the model in text-to-image generation task.

Image Captioning Question Answering +2

Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with Camera

1 code implementation18 Nov 2021 Wen Yang, Zheng Gong, Baifu Huang, Xiaoping Hong

Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which feature back-and-forth scanning patterns.

Autonomous Driving

The Efficient Hedging Frontier with Deep Neural Networks

no code implementations12 Apr 2021 Zheng Gong, Carmine Ventre, John O'Hara

The trade off between risks and returns gives rise to multi-criteria optimisation problems that are well understood in finance, efficient frontiers being the tool to navigate their set of optimal solutions.


EdgeCRNN: an edgecomputing oriented model of acoustic feature enhancement for keyword spotting

no code implementations14 Mar 2021 Yungen Wei, Zheng Gong, Shunzhi Yang, Kai Ye, Yamin Wen

Keyword Spotting (KWS) is a significant branch of Automatic Speech Recognition (ASR) and has been widely used in edge computing devices.

Ranked #8 on Keyword Spotting on Google Speech Commands (Google Speech Commands V2 12 metric)

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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