Shaoguang Mao

According to our database, Shaoguang Mao authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

K-Level Reasoning with Large Language Models.

Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Yan Xia, Man Lan, Furu Wei

CoRR, 2024

Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example.

Wei Xia, Shaoguang Mao, Chanjing Zheng

CoRR, 2024

2023

ALYMPICS: Language Agents Meet Game Theory.

Shaoguang Mao, Yuzhe Cai, Yan Xia, Wenshan Wu, Xun Wang, Fengyi Wang, Tao Ge, Furu Wei

CoRR, 2023

EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation.

Wang You, Wenshan Wu, Yaobo Liang, Shaoguang Mao, Chenfei Wu, Maosong Cao, Yuzhe Cai, Yiduo Guo, Yan Xia, Furu Wei, Nan Duan

CoRR, 2023

Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji

CoRR, 2023

Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models.

Zhiyi Wang, Shaoguang Mao, Wenshan Wu, Yan Xia, Yan Deng, Jonathan Tien

CoRR, 2023

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training.

Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu

CoRR, 2023

Low-code LLM: Visual Programming over LLMs.

Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Jonathan Tien, Nan Duan

CoRR, 2023

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan

CoRR, 2023

Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation.

Hongyi Wu, Xinshu Shen, Man Lan, Xiaopeng Bai, Yuanbin Wu, Aimin Zhou, Shaoguang Mao, Tao Ge, Yan Xia

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Enhancing Detailed Feedback to Chinese Writing Learners Using a Soft-Label Driven Approach and Tag-Aware Ranking Model.

Yuzhe Cai, Shaoguang Mao, Chenshuo Wang, Tao Ge, Wenshan Wu, Yan Xia, Chanjin Zheng, Qiang Guan

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Extensible Prompts for Language Models on Zero-shot Language Style Customization.

Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis.

Hongyi Wu, Xinshu Shen, Man Lan, Shaoguang Mao, Xiaopeng Bai, Yuanbin Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Smart Word Suggestions for Writing Assistance.

Chenshuo Wang, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Jonathan Tien, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Extensible Prompts for Language Models.

Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei

CoRR, 2022

Assessing Phrase Break of ESL speech with Pre-trained Language Models.

Zhiyi Wang, Shaoguang Mao, Wenshan Wu, Yan Xia

CoRR, 2022

Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives.

Bin Su, Shaoguang Mao, Frank K. Soong, Zhiyong Wu

CoRR, 2022

An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings.

Wenxuan Ye, Shaoguang Mao, Frank K. Soong, Wenshan Wu, Yan Xia, Jonathan Tien, Zhiyong Wu

Proceedings of the IEEE International Conference on Acoustics, 2022

A Universal Ordinal Regression for Assessing Phoneme-Level Pronunciation.

Shaoguang Mao, Frank K. Soong, Yan Xia, Jonathan Tien

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Improving Pronunciation Assessment Via Ordinal Regression with Anchored Reference Samples.

Bin Su, Shaoguang Mao, Frank K. Soong, Yan Xia, Jonathan Tien, Zhiyong Wu

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

NN-based Ordinal Regression for Assessing Fluency of ESL Speech.

Shaoguang Mao, Zhiyong Wu, Jingshuai Jiang, Peiyun Liu, Frank K. Soong

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Automatic lexical stress and pitch accent detection for L2 English speech using multi-distribution deep neural networks.

Kun Li, Shaoguang Mao, Xu Li, Zhiyong Wu, Helen Meng

Speech Commun., 2018

Unsupervised Discovery of Non-native Phonetic Patterns in L2 English Speech for Mispronunciation Detection and Diagnosis.

Xu Li, Shaoguang Mao, Xixin Wu, Kun Li, Xunying Liu, Helen Meng

Proceedings of the Interspeech 2018, 2018

Integrating Articulatory Features into Acoustic-Phonemic Model for Mispronunciation Detection and Diagnosis in L2 English Speech.

Shaoguang Mao, Zhiyong Wu, Xu Li, Runnan Li, Xixin Wu, Helen Meng

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Applying Multitask Learning to Acoustic-Phonemic Model for Mispronunciation Detection and Diagnosis in L2 English Speech.

Shaoguang Mao, Zhiyong Wu, Runnan Li, Xu Li, Helen Meng, Lianhong Cai

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Unsupervised Discovery of an Extended Phoneme Set in L2 English Speech for Mispronunciation Detection and Diagnosis.

Shaoguang Mao, Xu Li, Kun Li, Zhiyong Wu, Xunying Liu, Helen Meng

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018