Search Results for author: Zhipeng Chen

Found 20 papers, 11 papers with code

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.

A Survey of Large Language Models

1 code implementation31 Mar 2023 Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, YiFan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen

To discriminate the difference in parameter scale, the research community has coined the term large language models (LLM) for the PLMs of significant size.

Language Modelling

TextBox 2.0: A Text Generation Library with Pre-trained Language Models

1 code implementation26 Dec 2022 Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen

To facilitate research on text generation, this paper presents a comprehensive and unified library, TextBox 2. 0, focusing on the use of pre-trained language models (PLMs).

Abstractive Text Summarization Data-to-Text Generation +7

IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction

no code implementations28 Aug 2022 Chengshuo Shen, Wei Zheng, Yonghua Ding, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Li Gao, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J-TEXT team

Understanding why a predictor makes a certain prediction can be as crucial as the prediction's accuracy for future tokamak disruption predictors.

A Channel Mix Method for Fine-Grained Cross-Modal Retrieval

3 code implementations IEEE International Conference on Multimedia and Expo (ICME) 2022 Yang shen, Xuhao Sun, Xiu-Shen Wei, Hanxu Hu, Zhipeng Chen

In this paper, we propose a simple but effective method for dealing with the challenging fine-grained cross-modal retrieval task where it aims to enable flexible retrieval among subor-dinate categories across different modalities.

Cross-Modal Retrieval Retrieval

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

1 code implementation ACL 2021 Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen

In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework.

Text Generation

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension

1 code implementation COLING 2020 Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu

To add diversity in this area, in this paper, we propose a new task called Sentence Cloze-style Machine Reading Comprehension (SC-MRC).

Machine Reading Comprehension

Contextual Recurrent Units for Cloze-style Reading Comprehension

no code implementations14 Nov 2019 Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu

Recurrent Neural Networks (RNN) are known as powerful models for handling sequential data, and especially widely utilized in various natural language processing tasks.

Reading Comprehension Sentiment Analysis +1

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

no code implementations21 Nov 2018 Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu

Machine Reading Comprehension (MRC) with multiple-choice questions requires the machine to read given passage and select the correct answer among several candidates.

Machine Reading Comprehension Multiple-choice

HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension

no code implementations15 Mar 2018 Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Ting Liu, Guoping Hu

This paper describes the system which got the state-of-the-art results at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.

Multiple-choice Reading Comprehension

Secure Detection of Image Manipulation by means of Random Feature Selection

no code implementations2 Feb 2018 Zhipeng Chen, Benedetta Tondi, Xiaolong Li, Rongrong Ni, Yao Zhao, Mauro Barni

We address the problem of data-driven image manipulation detection in the presence of an attacker with limited knowledge about the detector.

Cryptography and Security

Cannot find the paper you are looking for? You can Submit a new open access paper.