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2020 – today
- 2024
[c21]Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang:
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. ACL (Findings) 2024: 15468-15480- [c20]Nuowei Liu, Xinhao Chen, Hongyi Wu, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, Yan Xia:
CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays. EMNLP (Findings) 2024: 6744-6759 - [c19]Xinshu Shen, Hongyi Wu, Yadong Zhang, Man Lan, Xiaopeng Bai, Shaoguang Mao, Yuanbin Wu, Xinlin Zhuang, Li Cai:
Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method. EMNLP (Findings) 2024: 15515-15528 - [c18]Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei:
Low-code LLM: Graphical User Interface over Large Language Models. NAACL (Demonstrations) 2024: 12-25 - [c17]Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji:
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration. NAACL-HLT 2024: 257-279 - [c16]Yuhao Zhou, Hongyi Wu, Xinshu Shen, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, Tao Ge, Yan Xia:
Overview of the NLPCC 2024 Shared Task: Chinese Essay Discourse Logic Evaluation and Integration. NLPCC (5) 2024: 223-233 - [i23]Wei Xia, Shaoguang Mao, Chanjing Zheng:
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example. CoRR abs/2401.03401 (2024) - [i22]Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Yan Xia, Man Lan, Furu Wei:
K-Level Reasoning with Large Language Models. CoRR abs/2402.01521 (2024) - [i21]Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Adrian de Wynter, Yan Xia, Wenshan Wu, Ting Song, Man Lan, Furu Wei:
LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models. CoRR abs/2404.01230 (2024) - [i20]Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei:
Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models. CoRR abs/2404.03622 (2024) - [i19]Peizhong Gao, Ao Xie, Shaoguang Mao, Wenshan Wu, Yan Xia, Haipeng Mi, Furu Wei:
Meta Reasoning for Large Language Models. CoRR abs/2406.11698 (2024) - [i18]Yadong Zhang, Shaoguang Mao, Wenshan Wu, Yan Xia, Tao Ge, Man Lan, Furu Wei:
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning. CoRR abs/2407.06112 (2024) - [i17]Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang:
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. CoRR abs/2407.15498 (2024) - [i16]Nuowei Liu, Xinhao Chen, Hongyi Wu, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaopeng Bai, Shaoguang Mao, Yan Xia:
CERD: A Comprehensive Chinese Rhetoric Dataset for Rhetorical Understanding and Generation in Essays. CoRR abs/2409.19691 (2024) - [i15]Fangru Lin, Shaoguang Mao, Emanuele La Malfa, Valentin Hofmann, Adrian de Wynter, Jing Yao, Si-Qing Chen, Michael J. Wooldridge, Furu Wei:
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. CoRR abs/2410.11005 (2024) - [i14]Jinheng Wang, Hansong Zhou, Ting Song, Shaoguang Mao, Shuming Ma, Hongyu Wang, Yan Xia, Furu Wei:
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs. CoRR abs/2410.16144 (2024) - 2023
- [c15]Chenshuo Wang, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Jonathan Tien, Dongyan Zhao:
Smart Word Suggestions for Writing Assistance. ACL (Findings) 2023: 11212-11225 - [c14]Hongyi Wu, Xinshu Shen, Man Lan, Shaoguang Mao, Xiaopeng Bai, Yuanbin Wu:
A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis. EMNLP 2023: 6673-6688 - [c13]Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu:
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. INTERSPEECH 2023: 969-973 - [c12]Zhiyi Wang, Shaoguang Mao, Wenshan Wu, Yan Xia, Yan Deng, Jonathan Tien:
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models. INTERSPEECH 2023: 4194-4198 - [c11]Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei:
Extensible Prompts for Language Models on Zero-shot Language Style Customization. NeurIPS 2023 - [c10]Hongyi Wu, Xinshu Shen, Man Lan, Xiaopeng Bai, Yuanbin Wu, Aimin Zhou, Shaoguang Mao, Tao Ge, Yan Xia:
Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation. NLPCC (3) 2023: 292-301 - [c9]Yuzhe Cai, Shaoguang Mao, Chenshuo Wang, Tao Ge, Wenshan Wu, Yan Xia, Chanjin Zheng, Qiang Guan:
Enhancing Detailed Feedback to Chinese Writing Learners Using a Soft-Label Driven Approach and Tag-Aware Ranking Model. NLPCC (1) 2023: 576-587 - [i13]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:
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. CoRR abs/2303.16434 (2023) - [i12]Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Jonathan Tien, Nan Duan:
Low-code LLM: Visual Programming over LLMs. CoRR abs/2304.08103 (2023) - [i11]Chenshuo Wang, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Jonathan Tien, Dongyan Zhao:
Smart Word Suggestions for Writing Assistance. CoRR abs/2305.09975 (2023) - [i10]Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu:
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. CoRR abs/2306.02682 (2023) - [i9]Zhiyi Wang, Shaoguang Mao, Wenshan Wu, Yan Xia, Yan Deng, Jonathan Tien:
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models. CoRR abs/2306.04980 (2023) - [i8]Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji:
Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration. CoRR abs/2307.05300 (2023) - [i7]Wang You, Wenshan Wu, Yaobo Liang, Shaoguang Mao, Chenfei Wu, Maosong Cao, Yuzhe Cai, Yiduo Guo, Yan Xia, Furu Wei, Nan Duan:
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation. CoRR abs/2310.08185 (2023) - [i6]Shaoguang Mao, Yuzhe Cai, Yan Xia, Wenshan Wu, Xun Wang, Fengyi Wang, Tao Ge, Furu Wei:
ALYMPICS: Language Agents Meet Game Theory. CoRR abs/2311.03220 (2023) - 2022
- [c8]Shaoguang Mao, Frank K. Soong, Yan Xia, Jonathan Tien:
A Universal Ordinal Regression for Assessing Phoneme-Level Pronunciation. ICASSP 2022: 6807-6811 - [c7]Wenxuan Ye, Shaoguang Mao, Frank K. Soong, Wenshan Wu, Yan Xia, Jonathan Tien, Zhiyong Wu:
An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings. ICASSP 2022: 6827-6831 - [i5]Bin Su, Shaoguang Mao, Frank K. Soong, Zhiyong Wu:
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives. CoRR abs/2207.02454 (2022) - [i4]Zhiyi Wang, Shaoguang Mao, Wenshan Wu, Yan Xia:
Assessing Phrase Break of ESL speech with Pre-trained Language Models. CoRR abs/2210.16029 (2022) - [i3]Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei:
Extensible Prompts for Language Models. CoRR abs/2212.00616 (2022) - 2021
- [c6]Bin Su, Shaoguang Mao, Frank K. Soong, Yan Xia, Jonathan Tien, Zhiyong Wu:
Improving Pronunciation Assessment Via Ordinal Regression with Anchored Reference Samples. ICASSP 2021: 7748-7752 - [i2]Wenxuan Ye, Shaoguang Mao, Frank K. Soong, Wenshan Wu, Yan Xia, Jonathan Tien, Zhiyong Wu:
An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings. CoRR abs/2110.07274 (2021) - 2020
- [i1]Bin Su, Shaoguang Mao, Frank K. Soong, Yan Xia, Jonathan Tien, Zhiyong Wu:
Improving pronunciation assessment via ordinal regression with anchored reference samples. CoRR abs/2010.13339 (2020)
2010 – 2019
- 2019
- [c5]Shaoguang Mao, Zhiyong Wu, Jingshuai Jiang, Peiyun Liu, Frank K. Soong:
NN-based Ordinal Regression for Assessing Fluency of ESL Speech. ICASSP 2019: 7420-7424 - 2018
- [j1]Kun Li, Shaoguang Mao, Xu Li, Zhiyong Wu, Helen Meng:
Automatic lexical stress and pitch accent detection for L2 English speech using multi-distribution deep neural networks. Speech Commun. 96: 28-36 (2018) - [c4]Shaoguang Mao, Xu Li, Kun Li, Zhiyong Wu, Xunying Liu, Helen Meng:
Unsupervised Discovery of an Extended Phoneme Set in L2 English Speech for Mispronunciation Detection and Diagnosis. ICASSP 2018: 6244-6248 - [c3]Shaoguang Mao, Zhiyong Wu, Runnan Li, Xu Li, Helen Meng, Lianhong Cai:
Applying Multitask Learning to Acoustic-Phonemic Model for Mispronunciation Detection and Diagnosis in L2 English Speech. ICASSP 2018: 6254-6258 - [c2]Shaoguang Mao, Zhiyong Wu, Xu Li, Runnan Li, Xixin Wu, Helen Meng:
Integrating Articulatory Features into Acoustic-Phonemic Model for Mispronunciation Detection and Diagnosis in L2 English Speech. ICME 2018: 1-6 - [c1]Xu Li, Shaoguang Mao, Xixin Wu, Kun Li, Xunying Liu, Helen Meng:
Unsupervised Discovery of Non-native Phonetic Patterns in L2 English Speech for Mispronunciation Detection and Diagnosis. INTERSPEECH 2018: 2554-2558
Coauthor Index
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