no code implementations • 2 Mar 2024 • Jiayuan Su, Jing Luo, Hongwei Wang, Lu Cheng
This study aims to address the pervasive challenge of quantifying uncertainty in large language models (LLMs) without logit-access.
1 code implementation • 28 Jun 2023 • Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, JianGuo Zhang, Hongwei Bran Li
We introduce a novel Bayesian neural network-based architecture to estimate inter-rater uncertainty in medical image segmentation.
1 code implementation • 28 May 2023 • Hang Chen, Bingyu Liao, Jing Luo, Wenjing Zhu, Xinyu Yang
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model.
1 code implementation • 4 May 2023 • Hang Chen, Jing Luo, Xinyu Yang, Wenjing Zhu
noise terms into the conversation process, thereby constructing a structural causal model (SCM).
no code implementations • 2 Nov 2021 • Jing Luo, Haoyu Wei, Xiaoyu Lei, Jiaxin Guo
For the differential privacy under the sub-Gamma noise, we derive the asymptotic properties of a class of network models with binary values with a general link function.
no code implementations • 1 Apr 2021 • Yuka Takeishi, Mingxuan Niu, Jing Luo, Zhong Jin, Xinyu Yang
To further explore the creative potential of natural language generation systems in Japanese poetry creation, we propose a novel Waka generation model, WakaVT, which automatically produces Waka poems given user-specified keywords.
no code implementations • 13 Nov 2020 • Shulei Ji, Jing Luo, Xinyu Yang
This paper attempts to provide an overview of various composition tasks under different music generation levels, covering most of the currently popular music generation tasks using deep learning.
1 code implementation • 14 May 2020 • Zaven Arzoumanian, Paul T. Baker, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Bence Becsy, Maria Charisi, Shami Chatterjee, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Timothy Dolch, Rodney D. Elliott, Justin A. Ellis, Robert D. Ferdman, Elizabeth C. Ferrara, Emmanuel Fonseca, Nathan Garver-Daniels, Peter A. Gentile, Deborah C. Good, Jeffrey S. Hazboun, Kristina Islo, Ross J. Jennings, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Joey Shapiro Key, Michael T. Lam, T. Joseph W. Lazio, Lina Levin, Jing Luo, Ryan S. Lynch, Dustin R. Madison, Maura A. McLaughlin, Chiara M. F. Mingarelli, Cherry Ng, David J. Nice, Timothy T. Pennucci, Nihan S. Pol, Scott M. Ransom, Paul S. Ray, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Renee Spiewak, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Joseph K. Swiggum, Stephen R. Taylor, Michele Vallisneri, Sarah J. Vigeland, Caitlin A. Witt, Weiwei Zhu
Due to the observed periodicities present in the photometric and astrometric data of the source of the source, it has been theorized to contain a supermassive black hole binary.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 13 May 2020 • Md F. Alam, Zaven Arzoumanian, Paul T. Baker, Harsha Blumer, Keith E. Bohler, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Keeisi Caballero, Richard S. Camuccio, Rachel L. Chamberlain, Shami Chatterjee, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Megan E. DeCesar, Paul B. Demorest, Timothy Dolch, Justin A. Ellis, Robert D. Ferdman, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Yhamil Garcia, Nathan Garver-Daniels, Peter A. Gentile, Deborah C. Good, Jordan A. Gusdorff, Daniel Halmrast, Jeffrey Hazboun, Kristina Islo, Ross J. Jennings, Cody Jessup, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Joey Shapiro Key, Michael T. Lam, T. Joseph W. Lazio, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Dustin Madison, Kaleb Maraccini, Maura A. McLaughlin, Chiara M. F. Mingarelli, Cherry Ng, Benjamin M. X. Nguyen, David J. Nice, Timothy T. Pennucci, Nihan S. Pol, Joshua Ramette, Scott M. Ransom, Paul S. Ray, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Renee Spiewak, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Joseph K. Swiggum, Stephen R. Taylor, Michael Tripepi, Michele Vallisneri, Sarah J. Vigeland, Caitlin A. Witt, Weiwei Zhu
We detail our observational methods and present a set of TOA measurements, based on "narrowband" analysis, in which many TOAs are calculated within narrow radio-frequency bands for data collected simultaneously across a wide bandwidth.
Time Series Analysis High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
no code implementations • 1 Dec 2019 • Tinghao Zhang, Jing Luo, Ping Chen, Jie Liu
At high latitudes, many cities adopt a centralized heating system to improve the energy generation efficiency and to reduce pollution.
no code implementations • 29 Sep 2019 • Jing Luo, Xinyu Yang, Shulei Ji, Juan Li
In this paper, we propose MG-VAE, a music generative model based on VAE (Variational Auto-Encoder) that is capable of capturing specific music style and generating novel tunes for Chinese folk songs (Min Ge) in a manipulatable way.
Music Generation Multimedia Sound Audio and Speech Processing
no code implementations • 24 Dec 2017 • Zaven Arzoumanian, Adam Brazier, Sarah Burke-Spolaor, Sydney Chamberlin, Shami Chatterjee, Brian Christy, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Timothy Dolch, Justin A. Ellis, Robert D. Ferdman, Elizabeth C. Ferrara, Emmanuel Fonseca, Nathan Garver-Daniels, Peter A. Gentile, Daniel Halmrast, Eliu Huerta, Fredrick A. Jenet, Cody Jessup, Glenn Jones, Megan L. Jones, David L. Kaplan, Michael T. Lam, T. Joseph W. Lazio, Lina Levin, Andrea Lommen, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Dustin Madison, Allison M. Matthews, Maura A. McLaughlin, Sean T. McWilliams, Chiara Mingarelli, Cherry Ng, David J. Nice, Timothy T. Pennucci, Scott M. Ransom, Paul S. Ray, Xavier Siemens, Joseph Simon, Renee Spiewak, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Joseph K. Swiggum, Stephen R. Taylor, Michele Vallisneri, Rutger van Haasteren, Sarah J. Vigeland, Weiwei Zhu
Most pulsars were observed with approximately monthly cadence, with six high--timing-precision pulsars observed weekly, and all were observed at widely separated frequencies at each observing epoch in order to fit for time-variable dispersion delays.
High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics
no code implementations • 23 Nov 2017 • Rakenth R. Menon, Jing Luo, Xiaobo Chen, Hui Zhou, Zhiyong Liu, Guangwen Zhou, Ning Zhang, Congrui Jin
Therefore, a screening of different species of fungi has been conducted in this study.
no code implementations • 4 Aug 2017 • Jing Luo, Xiaobo Chen, Jada Crump, Hui Zhou, David G. Davies, Guangwen Zhou, Ning Zhang, Congrui Jin
The goal of this study is to explore a new self-healing concept in which fungi are used as a self-healing agent to promote calcium mineral precipitation to fill the cracks in concrete.