Search Results for author: Pengyu Wang

Found 15 papers, 8 papers with code

Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning

no code implementations24 Oct 2023 YuHan Liu, Pengyu Wang, Chang-Hun Lee, Roland Tóth

One major challenge for autonomous attitude takeover control for on-orbit servicing of spacecraft is that an accurate dynamic motion model of the combined vehicles is highly nonlinear, complex and often costly to identify online, which makes traditional model-based control impractical for this task.

Gaussian Processes

Watermarking LLMs with Weight Quantization

1 code implementation17 Oct 2023 Linyang Li, Botian Jiang, Pengyu Wang, Ke Ren, Hang Yan, Xipeng Qiu

Abuse of large language models reveals high risks as large language models are being deployed at an astonishing speed.

Language Modelling Large Language Model +1

SeqXGPT: Sentence-Level AI-Generated Text Detection

1 code implementation13 Oct 2023 Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, Xipeng Qiu

Therefore, it is important to build strong AI-generated text (AIGT) detectors.

Text Detection

PerturbScore: Connecting Discrete and Continuous Perturbations in NLP

1 code implementation13 Oct 2023 Linyang Li, Ke Ren, Yunfan Shao, Pengyu Wang, Xipeng Qiu

Through experimental results, we find that we can build a connection between discrete and continuous perturbations and use the proposed PerturbScore to learn such correlation, surpassing previous methods used in discrete perturbation measuring.

The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS

1 code implementation LT4HALA (LREC) 2022 Pengyu Wang, Zhichen Ren

Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare.

Chinese Word Segmentation Part-Of-Speech Tagging +2

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

1 code implementation18 May 2023 Dong Zhang, ShiMin Li, Xin Zhang, Jun Zhan, Pengyu Wang, Yaqian Zhou, Xipeng Qiu

Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT.

Language Modelling Large Language Model +2

Origin Tracing and Detecting of LLMs

no code implementations27 Apr 2023 Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu

The extraordinary performance of large language models (LLMs) heightens the importance of detecting whether the context is generated by an AI system.

Learning For Predictive Control: A Dual Gaussian Process Approach

no code implementations7 Nov 2022 YuHan Liu, Pengyu Wang, Roland Tóth

Gaussian process (GP) based estimation of system models is an effective tool to learn unknown dynamics directly from input/output data.

EventHPE: Event-based 3D Human Pose and Shape Estimation

1 code implementation ICCV 2021 Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals.

3D human pose and shape estimation Optical Flow Estimation

3D Shape Segmentation via Shape Fully Convolutional Networks

no code implementations28 Feb 2017 Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun

3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images.

Image Segmentation Segmentation +1

Stochastic Collapsed Variational Inference for Hidden Markov Models

no code implementations5 Dec 2015 Pengyu Wang, Phil Blunsom

In this paper, we propose a stochastic collapsed variational inference algorithm for hidden Markov models, in a sequential data setting.

Variational Inference

Stochastic Collapsed Variational Inference for Sequential Data

no code implementations5 Dec 2015 Pengyu Wang, Phil Blunsom

Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling.

Variational Inference

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