Search Results for author: Songhao Piao

Found 7 papers, 3 papers with code

Pseudo-Masked Language Models for Unified Language Model Pre-Training

1 code implementation ICML 2020 Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon

We propose to pre-train a unified language model for both autoencoding and partially autoregressive language modeling tasks using a novel training procedure, referred to as a pseudo-masked language model (PMLM).

Language Modelling Natural Language Understanding

A novel approach for multi-agent cooperative pursuit to capture grouped evaders

no code implementations1 Jun 2020 Muhammad Zuhair Qadir, Songhao Piao, Haiyang Jiang, Mohammed El Habib Souidi

An approach of mobile multi-agent pursuit based on application of self-organizing feature map (SOFM) and along with that reinforcement learning based on agent group role membership function (AGRMF) model is proposed.

reinforcement-learning reinforcement Learning

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

3 code implementations28 Feb 2020 Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon

We propose to pre-train a unified language model for both autoencoding and partially autoregressive language modeling tasks using a novel training procedure, referred to as a pseudo-masked language model (PMLM).

Ranked #3 on Question Generation on SQuAD1.1 (using extra training data)

Abstractive Text Summarization Language Modelling +2

Neural Melody Composition from Lyrics

no code implementations12 Sep 2018 Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou

In this paper, we study a novel task that learns to compose music from natural language.

Coalition formation for Multi-agent Pursuit based on Neural Network and AGRMF Model

no code implementations17 Jul 2017 Zhaoyi Pei, Songhao Piao, Mohammed Ei Souidi

An approach for coalition formation of multi-agent pursuit based on neural network and AGRMF model is proposed. This paper constructs a novel neural work called AGRMF-ANN which consists of feature extraction part and group generation part.

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